Peer Review History
| Original SubmissionAugust 4, 2021 |
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PONE-D-21-25066Effects of experimental situation on group cooperation and individual performance: comparing laboratory and online experimentsPLOS ONE Dear Dr. Ozono, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. You will find two extensive reports (one pasted, the other attached). Both reviewers provide a number of interesting comments and suggestion that you should address. Please consider that I will send the paper back to the same referees. Although they ask for a number of changes and clarifications my own interpretation is that both reviewers are fairly positive. Please submit your revised manuscript by Oct 30 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Pablo Brañas-Garza, PhD Economics Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 2. Thank you for stating the following in the Acknowledgments Section of your manuscript: "This work was supported by the JSPS KAKENHI (18K13272) ." We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: "HO was supported by the JSPS KAKENHI (18K13272). http://www.jsps.go.jp/english/. This funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript." Please include your amended statements within your cover letter; we will change the online submission form on your behalf. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The manuscript is really clear, it is easy to understand the reasoning of the authors. " mainly because of the ease of recruitment and implementation" -> I think laboratories are used because they are a controlled environment. The interest of online environment is precisely to drastically reduce the difficulty of recruitment and collection of datas. "Social distance theory, which discusses the effect on behavior of social distance among participants," -> Explain a bit what is the effect of social distance (how it works). "principal–agent problem" -> I do not know what it means. "so the motive to punish may increase to maintain cooperation." -> It can also decrease since participants were not expected to cooperate, therefore punishers might interpret that there is no/less punishment to give to people who thought, similarly to them, that cooperation cannot be sustained. " the online participants with their anonymity would be less likely to hesitate in punishing" -> Since the only difference between the two environments when talking about how participants perceive others participants is... the perceived physical presence of others... I think this factor is too light, not enough to make Lab subjects consider how they interact with others as sufficiently different than Online subjects to elicit a difference that would be significant on t-tests. "laboratory situations where social distance is close." -> I disagree. Social distance is close when there are interactions between people, because they create inside the mind of subjects the belief of belonging to a group. I would even say that social distance can only be classified as "close" when the group has taken enough existence to have his members perform group thinking. "They argued that the latter is caused by “choking under pressure” due to excessive incentive." -> Having made sport in my life, "choking under pressure" is relatable to a different context: when there is something to size (victory) and that the person internally collapse in front of it. This kind of situation is rather relatable to "social conformity", i.e behaving as you believe that the figure of authority wants you to behave, in order to fit with the norm of good individual. This is why you find and should expect this effect in the Lab: subjects are observed by experimenters and know it. Even see it. "performed the PGG without punishment, followed by the PGG with punishment" -> Can you justify why you are not also doing it on the reverse side ? Because playing PGG with punishment after normal PGG could alter results in both the direction of more and less punishment. Players who saw cooperation collapse in the first PGG (the expected result) might use punishment more heavily to maintain cooperation, but they might also psychologically resign and accept the "fatality" of non-cooperation. In both cases, it means that their behavior in PGG with punishment is not "pure". And in all cases, the behavior in PGG with punishment is necessarily influenced by the perception of having made the standard PGG just before. "For every one point used to reduce another member, this other member was reduced by two points" -> I agree that it might be too small of a punishment. 1:3 seems a better ratio to me, because you can significantly punish without losing much, meaning that you reproach bad behavior more easily. Note: I wonder what "creative" exactly means, in his scientific definition. My definition of "creativity" is not exactly in accordance with the implicit one in the anagram task.Creativity is supposed to propose something new, which is slightly different from making associations to find an already known word. Note #2: The tasks are well-explained. " no particular trends worthy of report were detected" -> Interesting, because I am doing a similar experiment (Lab vs Online) and I have results associated with Questionnaires: subjects in the Lab are providing more desirable answers about themselves than Online subjects (I.e observer effect), but it seems to trigger only with questions that are somehow "salient" on social appropriateness. "the booths" -> What is a "booth". Note: The booth environment is halfway between "Online" and "Physical Presence" conditions. Not even talking about "Physical Presence + Social Interactions" (through computer communication). It might explained the underlying trend of results: environment are too similar, therefore the only difference is the conscious/unconscious effect on subjects of being in physical presence of others and experimenters, which is a measure of Pygmalion,Demander effects... "Zoom was used for the questions to make the setting as similar as possible to the online situation." -> Ah yes ? Why not. Interesting. " 1 yen per point (US$1 is approximately 100 yen)." -> Are these amounts considerable in Japan ? I think you should precise that the average payment was slightly above the average daily wage if it was the case, such that we know that subjects were playing for stakes. Because right now, I understand that the payment of starting amounts in PGG is 4$ for the whole PGG conditions. Which is not a lot from my European viewpoint... "order of the tasks..." -> Why is it not a problem that remote association is never first ? " basic participation fee of 500 yen." -> Perhaps precise earlier in the paper how subjects are paid, or better put their average payment. "These results imply that the introduction of punishment had some effect in promoting and maintaining group coopereation." -> Known result, therefore important to replicate it in the Online environment to verify his existence there. "t the effect of punishment was very weak in Japan" -> Unclear to me. I assume hat you mean : "Punishment does not increase cooperation with Japanese students". Because you talk of Culture, a bit of explanation would make the paper more tasty. I think that what you would say would be: "Japan is an individualistic culture, and therefore Japanese students are perhaps less likely to punish subjects who refuse to cooperate because their social codes accept the refusal to engage in group behavior". "Funaki points out that (...) perverse punishment -> Unclear. It seems like Funkaki talk about Japanse students, but why ? Because Japanese students would actually punish the person who is prosocial ? Being prosocial would be considered as a norm violation in social interactions ? It is interesting to discuss. "the higher pressure induced by the other participants and the experimenter in the laboratory" -> I think the effect is created by experimenters and the laboratory in itself, not others subjects. "nervousness may have strongly affected performance in the remote association task"-> Social pressure might inhibit creative behavior due to the perception of being judged by an authority figure. "Another possibility is that the participants might be highly motivated to perform the task seriously" -> I agree. Therefore, it is arguable that because of motivated samples and close experimental condition (cf.above why I think that), the no-result was to expect on the overall trend of results. Ycrowd users are also likely to be motivated, since they make the effort of registering and connecting to a website to perform tasks. Additionally, they might do that for a living, which would make them even more motivated than students to perform. I do not believe that this sample resolve the motivation issue. "Specifically, the participation fee was set at 30 yen, and the PGG rate was set at 0.2 yen per point" -> I see an issue in not having the same experimental payments. If you have different results than Lab and Online with students, it can be argued as being the cause. If you have a no-result, then it would rather suggest that the scale of payment is not important, in accordance with previous papers who showed that for M-Turk scale of payment is not importatn. I quote my own Literature Review on this topic : "Mason and Watts (2009) and Marge, Banerjee and Rudnicky (2010) showed that AMT wages influenced the quantity but not the quality of work which suggest that payment scale is not an issue, in accordance with the meta-analysis of Camerer and Hogarth (1999)". "Mann–Whitney U-test showed that the YCrowd participants contributed less than the university student participants in the PGG without punishment (U = 137.5, Z = 2.260, p = 0.024) and with punishment (U = 111.5, Z = 2.891, p = 0.004)." -> Ok, so we fall on my previous comment. If I have followed, the "standard" endowment in Lab/Online "PGG + PGG with punishment" is equivalent to 1point = 1 Yen, i.e 400 Yen = 4$. Now, with 1 point = 0.2 yen, it means that subjects gain 80 Yen = 0.8$. So perhaps what is happening is that the endowment of subjects is perceived as small and they are therefore more "conservative" to not lose the few that they have been able to acquire. Important: It is not an interpretation "on the flight" (French: "au vol"). Without the context of the value of a Yen, it does not pretend at truthfulness. "Groups that had more than one case of exceeding the time limit were excluded from the analysis." -> Seems coherent to me, since Online environment can trigger loss of attention, and until it is precisely known to which proportion it affects results, strict selection of results is a better choice. (Note: In my experiment, I have few outliers in Time. But I suspect that slowest subjects in the Online condition are a bit distracted by Internet notifications). 'The reason for this may be a cultural characteristic of Japan," -> Perhaps it is only Internet samples that have less expectations of cooperations, since this kind of subjects are more likely to be isolated in their lives, while students (whether Lab or Online) have the feeling of belonging to something (the university). Also, if they know they are with similar peers, it might triggers prosociality by recognition of similarity. This is, said otherwise, "social distance". Larger social distance in the Online environment between participants create less prosociality than closer social distance between students. Additionally, students might mutually know that they are in a precarious/vulnerable social status and therefore be inclined to help each others. "leaving our results open to various interpretations" -> Indeed. "and population (online university students/YCrowd participants) and presence of incentives (contingent/fixed pay) as the independent variables." -> (0=, 1=) , (0=, 1=) so that we know the meaning behind the interaction effect more intuitively. Also, I do not remember if you did the same parenthesis in the first experiment. I think not. " but the interaction was significant " -> Perhaps put the number, so that we intuitively know the direction of the effect. " to differences in sincerity of the attitude" -> I would rather say "intrinsic motivation". This general online sample is intrisically less motivated and therefore will not perform annoying tasks. But he will normally perform standard tasks that are "intellectually stimulating" to him. "he possibility of physical distance" -> I think that "physical distance x social contact" would have an effect, but not physical distance alone. Overall Conclusion: The manuscript is clear, well-interpreted. The experimental design is simple and to the point. Results do what they are supposed to do and make a contribution to the literature. It is good for me. Additional Comment: I am currently finishing to writte a paper on "Lab vs Online". My subjects were exclusively students, and they played : Convex Time Budget, Multiple Price Lists, Holt-Laury, Dictator Game (Charity donation version), CRT, Numeracy questionnaire, Questionnaire on various charateristics. I similarly find a no-result overall, but similarly to you I occasionally find small differences in details. My interpretation is that these difference arise because of Pygmalion of Demander effect, depending on the context we are talking about. I suspect that the kind of task eliciting this kind of reactions are "salient" questions for demander effect and "sensible" experimental trials for Pygmalion effect. "salient" means that the question is very precise on the behavior of the subjects and the subject can instantly grasp if it is good/bad behavior, "sensible" means trials in CTB (or HL) that are "ambiguous" in the answer of subjects, compared to others more straightforward trials. Lab subjects aim at larger amounts, i.e "increased productivity" in terms of Pygmalion effect if they were factory workers. I think my advisor would have no issue sharing the paper. Reviewer #2: The research question of the paper is interesting but a more detailed analysis of the data is required. The structure of the analysis and sections of the paper needs to be revised in order to make the results more legible. I attached a document with my comments. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Benjamin Prissé Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
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| Revision 1 |
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PONE-D-21-25066R1Effects of experimental situation on group cooperation and individual performance: comparing laboratory and online experimentsPLOS ONE Dear Dr. Ozono, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. I consider that your paper address now the previous concerns but, as one referee suggests, there are some considerations that could improve the presentation of the findings. So, please consider how to include the suggestions done by Reviewer 3. They are minor changes that could be easily used to improve the paper. Please submit your revised manuscript by Apr 14 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Alfonso Rosa Garcia Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #3: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #3: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #3: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #3: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: You have addressed the comments made in a well-made fashion, therefore I accept the paper. I thank you for quoting our paper in the new version of this paper. Reviewer #3: The authors have addressed the reviewers’ comments adequately, in my opinion. This piece offers new interesting insights to a growing literature. Thus, the 11 comments below concentrate on the presentation of the findings, rather than on their fundamentals. I think such comments can be addressed relatively quickly, if the authors find them useful. 1. I believe the readership could assimilate your design more easily in the context of an explicit 2x2x2 environment [experimental situation x incentive scheme x sample heterogeneity] where you have the first four combinations covered [experimental situation x incentive scheme] in the first two research questions. Then, you could present a case for the third set of combinations [sample heterogeneity], where you focus only on online situations – e.g. it is fine to have the most elusive combinations [lab & heterogeneous] outside the scope of this type of paper because of the logistical and practical insights obtained. This approach would also allow you to integrate the “Additional Experiment” section more organically, potentially as a third research question. 2. Page 5, line 66. It is not clear to me why social distance theory predicts substantially different (prosocial) behavior. The way it is explained seems quite in line with the idea suggested by the observer effect (i.e. that prosociality would flourish with physical proximity, including the experimenter). 3. Page 6, line 79. Add “, that participants online tend to be less prosocial”. 4. Page 6 line 84. I’d argue that it also warrants a more nuanced comparison of the results because the papers discussed, although focused on experimental situations, offer insights based on samples from different countries. Therefore, to the extent that there is an interaction between situations and sample compositions, pooling their results is not ideal. 5. Page 7 line 91. I believe they found the online sample, which was older, to be more cooperative – even after controlling for demographics / overall sample heterogeneity. 6. Research question 2. This question could emphasize a bit more that the comparisons rely on student samples. Ideally, you could also highlight that the hypotheses relative to performance are quite context-dependent: it is very different to compare a sample of students in the lab and online versus, for example, crowds that opt to take surveys out of boredom while commuting or another group that takes surveys for a living and concentrates in front of their computers. 7. Page 10 line 156. This argument could be strengthened by citing Fehr & Gächter (2002), who found no evidence of order effects. 8. Page 11 line 179. I think this line should contextualize the prevalence of a pandemic and the potential effect on who decides to go to a lab. 9. Page 17 line 286. It would be informative to provide brief statistics about how many groups were excluded here, and how many participants timed out (none?). A line justifying why full contributions were set as the default (and the inclusion of an automatic program) would be useful too. 10. Page 19 line 309. It would be useful to know more about such a preliminary experiment. 11. Page 21 line 345. Results from the Yahoo crowdsourcing sample currently come a bit out of the blue. I think this sample should be contextualized a bit more before it is introduced here (e.g. by integrating the study as suggested in point 1), and in the Figures. Other than the abstract, no mention of YCrowd is made until this point. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Benjamin Prissé Reviewer #3: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 2 |
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Effects of experimental situation on group cooperation and individual performance: comparing laboratory and online experiments PONE-D-21-25066R2 Dear Dr. Ozono, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Alfonso Rosa Garcia Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: |
| Formally Accepted |
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PONE-D-21-25066R2 Effects of experimental situation on group cooperation and individual performance: comparing laboratory and online experiments Dear Dr. Ozono: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Alfonso Rosa Garcia Academic Editor PLOS ONE |
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