乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T07:52:00Z","timestamp":1726473120963},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T00:00:00Z","timestamp":1611187200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T00:00:00Z","timestamp":1611187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000088","name":"Directorate for Social, Behavioral and Economic Sciences","doi-asserted-by":"publisher","award":["SES-1658837"],"id":[{"id":"10.13039\/100000088","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Comput Soc Sc"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s42001-020-00098-1","type":"journal-article","created":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T09:03:06Z","timestamp":1611219786000},"page":"613-629","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving measurements of similarity judgments with machine-learning algorithms"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-2375-1360","authenticated-orcid":false,"given":"Jeffrey R.","family":"Stevens","sequence":"first","affiliation":[]},{"given":"Alexis","family":"Polzkill Saltzman","sequence":"additional","affiliation":[]},{"given":"Tanner","family":"Rasmussen","sequence":"additional","affiliation":[]},{"given":"Leen-Kiat","family":"Soh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"key":"98_CR1","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1002\/9780470752937.ch21","volume-title":"Blackwell handbook of judgment and decision making","author":"D Read","year":"2004","unstructured":"Read, D. (2004). Intertemporal choice. In D. Koehler & N. Harvey (Eds.), Blackwell handbook of judgment and decision making (pp. 424\u2013443). Oxford: Blackwell."},{"issue":"2","key":"98_CR2","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1017\/S1930297500005052","volume":"8","author":"JR Doyle","year":"2013","unstructured":"Doyle, J. R. (2013). Survey of time preference, delay discounting models. Judgment and Decision Making, 8(2), 116\u2013135.","journal-title":"Judgment and Decision Making"},{"issue":"4","key":"98_CR3","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1093\/ei\/40.4.574","volume":"40","author":"JW Leland","year":"2002","unstructured":"Leland, J. W. (2002). Similarity judgments and anomalies in intertemporal choice. Economic Inquiry, 40(4), 574\u2013581. https:\/\/doi.org\/10.1093\/ei\/40.4.574.","journal-title":"Economic Inquiry"},{"issue":"4","key":"98_CR4","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1111\/1468-2354.t01-1-00106","volume":"44","author":"A Rubinstein","year":"2003","unstructured":"Rubinstein, A. (2003). \u201cEconomics and psychology\u201d? The case of hyperbolic discounting. International Economic Review, 44(4), 1207\u20131216. https:\/\/doi.org\/10.1111\/1468-2354.t01-1-00106.","journal-title":"International Economic Review"},{"issue":"1","key":"98_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/bdm.1870","volume":"29","author":"JR Stevens","year":"2016","unstructured":"Stevens, J. R. (2016). Intertemporal similarity: Discounting as a last resort. Journal of Behavioral Decision Making, 29(1), 12\u201324. https:\/\/doi.org\/10.1002\/bdm.1870.","journal-title":"Journal of Behavioral Decision Making"},{"issue":"2","key":"98_CR6","doi-asserted-by":"publisher","first-page":"627","DOI":"10.3758\/s13423-017-1398-1","volume":"25","author":"JR Stevens","year":"2018","unstructured":"Stevens, J. R., & Soh, L.-K. (2018). Predicting similarity judgments in intertemporal choice with machine learning. Psychonomic Bulletin & Review, 25(2), 627\u2013635. https:\/\/doi.org\/10.3758\/s13423-017-1398-1.","journal-title":"Psychonomic Bulletin & Review"},{"key":"98_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6849-3","volume-title":"Applied predictive modeling","author":"M Kuhn","year":"2013","unstructured":"Kuhn, M., & Johnson, K. (2013). Applied predictive modeling. New York: Springer."},{"key":"98_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning: Data mining, inference, and prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., & Friedman, J. H. (2009). The elements of statistical learning: Data mining, inference, and prediction. New York: Springer."},{"issue":"4","key":"98_CR9","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1023\/A:1009744630224","volume":"2","author":"SK Murthy","year":"1998","unstructured":"Murthy, S. K. (1998). Automatic construction of decision trees from data: A multi-disciplinary survey. Data Mining and Knowledge Discovery, 2(4), 345\u2013389. https:\/\/doi.org\/10.1023\/A:1009744630224.","journal-title":"Data Mining and Knowledge Discovery"},{"key":"98_CR10","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-0-387-30164-8_204","volume-title":"Encyclopedia of machine learning","author":"J F\u00fcrnkranz","year":"2010","unstructured":"F\u00fcrnkranz, J. (2010). Decision tree. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of machine learning (pp. 263\u2013267). Boston: Springer. https:\/\/doi.org\/10.1007\/978-0-387-30164-8_204."},{"key":"98_CR11","volume-title":"Classification and regression trees","author":"L Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. New York: Chapman and Hall."},{"key":"98_CR12","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/978-0-387-30164-8_157","volume-title":"Encyclopedia of machine learning","author":"KM Ting","year":"2010","unstructured":"Ting, K. M. (2010). Confusion matrix. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of machine learning (p. 209). Boston: Springer. https:\/\/doi.org\/10.1007\/978-0-387-30164-8_157."},{"key":"98_CR13","first-page":"211","volume":"4","author":"C Perlich","year":"2003","unstructured":"Perlich, C., Provost, F., & Simonoff, J. S. (2003). Tree induction versus logistic regression: A learning-curve analysis. Journal of Machine Learning Research, 4, 211\u2013255.","journal-title":"Journal of Machine Learning Research"},{"issue":"6","key":"98_CR14","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1177\/1745691617693393","volume":"12","author":"T Yarkoni","year":"2017","unstructured":"Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons from machine learning. Perspectives on Psychological Science, 12(6), 1100\u20131122. https:\/\/doi.org\/10.1177\/1745691617693393.","journal-title":"Perspectives on Psychological Science"},{"key":"98_CR15","unstructured":"R Core Team. (2018). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https:\/\/www.R-project.org\/. Accessed 13 Dec 2020."},{"key":"98_CR16","unstructured":"Kuhn, M., & Quinlan, R. (2020). C50: C5.0 decision trees and rule-based models. https:\/\/CRAN.R-project.org\/package=C50. Accessed 13 Dec 2020."},{"key":"98_CR17","unstructured":"Kuhn, M. (2020). caret: Classification and regression training. https:\/\/CRAN.R-project.org\/package=caret. Accessed 13 Dec 2020."},{"key":"98_CR18","unstructured":"Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., & Leisch, F. (2019). e1071: Misc functions of the Department of Statistics, probability theory group (formerly: E1071), TU Wien. https:\/\/CRAN.R-project.org\/package=e1071. Accessed 13 Dec 2020."},{"key":"98_CR19","unstructured":"Microsoft, & Weston, S. (2020). foreach: Provides foreach looping construct. https:\/\/CRAN.R-project.org\/package=foreach. Accessed 13 Dec 2020."},{"key":"98_CR20","unstructured":"Schloerke, B., Crowley, J., Cook, D., Briatte, F., Marbach, M., Thoen, E., et al. (2020). GGally: Extension to \u201cggplot2\u201d. https:\/\/CRAN.R-project.org\/package=GGally. Accessed 13 Dec 2020."},{"key":"98_CR21","unstructured":"M\u00fcller, K. (2017). here: A simpler way to find your files. https:\/\/CRAN.R-project.org\/package=here. Accessed 13 Dec 2020."},{"key":"98_CR22","doi-asserted-by":"publisher","unstructured":"Karatzoglou, A., Smola, A., Hornik, K., & Zeileis, A. (2004). Kernlab\u2014An S4 package for kernel methods in R. Journal of Statistical Software, 11(9), 1\u201320. https:\/\/doi.org\/10.18637\/jss.v011.i09. Accessed 13 Dec 2020.","DOI":"10.18637\/jss.v011.i09"},{"key":"98_CR23","unstructured":"Majka, M. (2019). naivebayes: High performance implementation of the naive Bayes algorithm in R. https:\/\/CRAN.R-project.org\/package=naivebayes. Accessed 13 Dec 2020."},{"key":"98_CR24","doi-asserted-by":"crossref","unstructured":"Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). New York: Springer.","DOI":"10.1007\/978-0-387-21706-2"},{"key":"98_CR25","unstructured":"Aust, F., & Barth, M. (2018). papaja: Create APA manuscripts with R Markdown. https:\/\/github.com\/crsh\/papaja. Accessed 13 Dec 2020."},{"key":"98_CR26","unstructured":"Pedersen, T. L. (2019). patchwork: The composer of plots. https:\/\/CRAN.R-project.org\/package=patchwork. Accessed 13 Dec 2020."},{"key":"98_CR27","unstructured":"Liaw, A., & Wiener, M. (2002). Classification and regression by randomForest. R News, 2(3), 18\u201322."},{"key":"98_CR28","unstructured":"Therneau, T., & Atkinson, B. (2019). rpart: Recursive partitioning and regression trees. https:\/\/CRAN.R-project.org\/package=rpart. Accessed 13 Dec 2020."},{"key":"98_CR29","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00037","author":"J Silge","year":"2016","unstructured":"Silge, J., & Robinson, D. (2016). tidytext: Text mining and analysis using tidy data principles in R. Journal of Open Source Software. https:\/\/doi.org\/10.21105\/joss.00037.","journal-title":"Journal of Open Source Software"},{"key":"98_CR30","unstructured":"Wickham, H. (2017). tidyverse: Easily install and load the \u201ctidyverse\u201d. https:\/\/CRAN.R-project.org\/package=tidyverse. Accessed 13 Dec 2020."},{"key":"98_CR31","doi-asserted-by":"crossref","unstructured":"Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R markdown: The definitive guide. Boca Raton: Chapman & Hall\/CRC. https:\/\/bookdown.org\/yihui\/rmarkdown. Accessed 13 Dec 2020.","DOI":"10.1201\/9781138359444"},{"key":"98_CR32","volume-title":"C4.5: Programs for machine learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan, J. R. (1993). C4.5: Programs for machine learning. San Mateo: Morgan Kaufmann Publishers Inc."},{"issue":"1","key":"98_CR33","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5\u201332. https:\/\/doi.org\/10.1023\/A:1010933404324.","journal-title":"Machine Learning"},{"issue":"1","key":"98_CR34","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., & Hart, P. (1967). Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 13(1), 21\u201327. https:\/\/doi.org\/10.1109\/TIT.1967.1053964.","journal-title":"IEEE Transactions on Information Theory"},{"issue":"3","key":"98_CR35","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1145\/321075.321084","volume":"8","author":"ME Maron","year":"1961","unstructured":"Maron, M. E. (1961). Automatic indexing: An experimental inquiry. Journal of the ACM, 8(3), 404\u2013417. https:\/\/doi.org\/10.1145\/321075.321084.","journal-title":"Journal of the ACM"},{"issue":"4","key":"98_CR36","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/BF02478259","volume":"5","author":"WS McCulloch","year":"1943","unstructured":"McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics, 5(4), 115\u2013133. https:\/\/doi.org\/10.1007\/BF02478259.","journal-title":"The Bulletin of Mathematical Biophysics"},{"key":"98_CR37","doi-asserted-by":"publisher","unstructured":"Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In Proceedings of the fifth annual workshop on computational learning theory (pp. 144\u2013152). Pittsburgh: Association for Computing Machinery. https:\/\/doi.org\/10.1145\/130385.130401.","DOI":"10.1145\/130385.130401"},{"key":"98_CR38","first-page":"1233","volume-title":"Encyclopedia of computer science","author":"A Laine","year":"2003","unstructured":"Laine, A. (2003). Neural networks. In A. Ralston, E. D. Reilley, & D. Hemmendinger (Eds.), Encyclopedia of computer science (pp. 1233\u20131239). New York: Wiley."},{"key":"98_CR39","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1007\/978-0-387-30164-8_804","volume-title":"Encyclopedia of machine learning","author":"X Zhang","year":"2010","unstructured":"Zhang, X. (2010). Support vector machines. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of machine learning (pp. 941\u2013946). Boston: Springer. https:\/\/doi.org\/10.1007\/978-0-387-30164-8_804."},{"issue":"2\u20133","key":"98_CR40","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1017\/S0140525X0999152X","volume":"33","author":"J Henrich","year":"2010","unstructured":"Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2\u20133), 61\u201383. https:\/\/doi.org\/10.1017\/S0140525X0999152X.","journal-title":"Behavioral and Brain Sciences"},{"key":"98_CR41","doi-asserted-by":"publisher","DOI":"10.1201\/9781315108230","volume-title":"Feature engineering and selection: A practical approach for predictive models","author":"M Kuhn","year":"2019","unstructured":"Kuhn, M., & Johnson, K. (2019). Feature engineering and selection: A practical approach for predictive models. Boca Raton: CRC Press."},{"issue":"1","key":"98_CR42","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/0022-0531(88)90154-8","volume":"46","author":"A Rubinstein","year":"1988","unstructured":"Rubinstein, A. (1988). Similarity and decision-making under risk (Is there a utility theory resolution to the Allais paradox?). Journal of Economic Theory, 46(1), 145\u2013153. https:\/\/doi.org\/10.1016\/0022-0531(88)90154-8.","journal-title":"Journal of Economic Theory"},{"issue":"2","key":"98_CR43","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/BF01064183","volume":"9","author":"JW Leland","year":"1994","unstructured":"Leland, J. W. (1994). Generalized similarity judgments: An alternative explanation for choice anomalies. Journal of Risk and Uncertainty, 9(2), 151\u2013172.","journal-title":"Journal of Risk and Uncertainty"},{"issue":"5","key":"98_CR44","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1002\/bdm.1772","volume":"26","author":"JW Leland","year":"2013","unstructured":"Leland, J. W. (2013). Equilibrium selection, similarity judgments, and the \u201cnothing to gain\/nothing to lose\u201d effect. Journal of Behavioral Decision Making, 26(5), 418\u2013428. https:\/\/doi.org\/10.1002\/bdm.1772.","journal-title":"Journal of Behavioral Decision Making"},{"issue":"4","key":"98_CR45","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1037\/0033-295X.84.4.327","volume":"84","author":"A Tversky","year":"1977","unstructured":"Tversky, A. (1977). Features of similarity. Psychological Review, 84(4), 327\u2013352. https:\/\/doi.org\/10.1037\/0033-295X.84.4.327.","journal-title":"Psychological Review"},{"issue":"4820","key":"98_CR46","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1126\/science.3629243","volume":"237","author":"R Shepard","year":"1987","unstructured":"Shepard, R. (1987). Toward a universal law of generalization for psychological science. Science, 237(4820), 1317\u20131323. https:\/\/doi.org\/10.1126\/science.3629243.","journal-title":"Science"},{"key":"98_CR47","first-page":"13","volume-title":"Cambridge handbook of thinking and reasoning","author":"RL Goldstone","year":"2005","unstructured":"Goldstone, R. L., & Son, J. (2005). Similarity. In K. J. Holyoak & R. Morrison (Eds.), Cambridge handbook of thinking and reasoning (pp. 13\u201336). Cambridge: Cambridge University Press."},{"issue":"1","key":"98_CR48","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/BF00153759","volume":"6","author":"DW Aha","year":"1991","unstructured":"Aha, D. W., Kibler, D., & Albert, M. K. (1991). Instance-based learning algorithms. Machine Learning, 6(1), 37\u201366. https:\/\/doi.org\/10.1007\/BF00153759.","journal-title":"Machine Learning"},{"issue":"2\u20133","key":"98_CR49","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/S0010-0277(97)00044-9","volume":"65","author":"U Hahn","year":"1998","unstructured":"Hahn, U., & Chater, N. (1998). Similarity and rules: Distinct? Exhaustive? Empirically distinguishable? Cognition, 65(2\u20133), 197\u2013230. https:\/\/doi.org\/10.1016\/S0010-0277(97)00044-9.","journal-title":"Cognition"},{"key":"98_CR50","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/S0079-7421(08)60140-1","volume-title":"Categorization by humans and machines: Advances in research and theory","author":"RJ Mooney","year":"1993","unstructured":"Mooney, R. J. (1993). Integrating theory and data in category learning. In G. V. Nakamura, D. L. Medin, & R. Taraban (Eds.), Categorization by humans and machines: Advances in research and theory (pp. 189\u2013218). San Diego: Academic Press."},{"key":"98_CR51","volume-title":"Reinforcement learning: An introduction","author":"RS Sutton","year":"2018","unstructured":"Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. Cambridge: MIT Press."},{"issue":"4","key":"98_CR52","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1080\/07421222.1993.11517977","volume":"9","author":"MW Kattan","year":"1993","unstructured":"Kattan, M. W., Adams, D. A., & Parks, M. S. (1993). A comparison of machine learning with human judgment. Journal of Management Information Systems, 9(4), 37\u201357. https:\/\/doi.org\/10.1080\/07421222.1993.11517977.","journal-title":"Journal of Management Information Systems"},{"issue":"1","key":"98_CR53","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s11229-012-0182-z","volume":"189","author":"A Rosenfeld","year":"2012","unstructured":"Rosenfeld, A., Zuckerman, I., Azaria, A., & Kraus, S. (2012). Combining psychological models with machine learning to better predict people\u2019s decisions. Synthese, 189(1), 81\u201393. https:\/\/doi.org\/10.1007\/s11229-012-0182-z.","journal-title":"Synthese"},{"issue":"8","key":"98_CR54","doi-asserted-by":"publisher","first-page":"1772","DOI":"10.1016\/j.jbusres.2015.01.061","volume":"68","author":"H Brighton","year":"2015","unstructured":"Brighton, H., & Gigerenzer, G. (2015). The bias bias. Journal of Business Research, 68(8), 1772\u20131784. https:\/\/doi.org\/10.1016\/j.jbusres.2015.01.061.","journal-title":"Journal of Business Research"},{"key":"98_CR55","doi-asserted-by":"publisher","unstructured":"Stevens, J. R., Saltzman, A., Rasumussen, T., & Soh, L.-K. (2020). Improving measurements of similarity judgments with machine-learning algorithms. PsyArXiv. https:\/\/doi.org\/10.31234\/osf.io\/epkyv.","DOI":"10.31234\/osf.io\/epkyv"}],"container-title":["Journal of Computational Social Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-020-00098-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42001-020-00098-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-020-00098-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T12:55:50Z","timestamp":1697633750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42001-020-00098-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,21]]},"references-count":55,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["98"],"URL":"https:\/\/doi.org\/10.1007\/s42001-020-00098-1","relation":{"has-preprint":[{"id-type":"doi","id":"10.31234\/osf.io\/epkyv","asserted-by":"object"}]},"ISSN":["2432-2717","2432-2725"],"issn-type":[{"value":"2432-2717","type":"print"},{"value":"2432-2725","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,21]]},"assertion":[{"value":"6 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no known conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All data analysis scripts are available atExternalRef removed.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Code availability"}}]}}