{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":304,"total_is_capped":false,"direct_labels_cover":3,"predictions_cover":304,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"49b792a6fb40","filters":{"venue":"Behavior Research Methods"}},"results":[{"id":"W2023736093","doi":"10.3758/s13428-012-0314-x","title":"Norms of valence, arousal, and dominance for 13,915 English lemmas","year":2013,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1978,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Psychology; Valence (chemistry); Stimulus (psychology); Taboo; Cognitive psychology; Arousal; Linguistics; Social psychology; Sociology","authors":[{"name":"Amy Beth Warriner","is_ca":true},{"name":"Victor Kuperman","is_ca":true},{"name":"Marc Brysbaert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2235629719078966,"gpt":0.5275938138999604,"spread":0.3040308419920638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951911,0.0003314141,0.0003496875,0.002050172,0.0006952198,0.001293661,0.0002317534,0.0002650147,0.004568661],"category_scores_gemma":[0.01732186,0.0001288054,0.0002262209,0.002466502,0.0005368649,0.0008428483,0.000513543,0.000342393,0.001449514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006726256,"about_ca_system_score_gemma":0.0004569102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580639,"about_ca_topic_score_gemma":0.005022219,"domain_scores_codex":[0.9977425,0.0008713886,0.0004809325,0.0003428538,0.0004461693,0.0001162676],"domain_scores_gemma":[0.974816,0.01981295,0.001533519,0.0006141239,0.002951572,0.0002719356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0057725,0.0003815058,0.6022362,0.003161024,0.0004234866,0.001863899,0.03069177,0.001855208,0.04021695,0.01231182,0.03131493,0.2697708],"study_design_scores_gemma":[0.0001396097,0.0007411871,0.8824816,0.0004344442,0.0003324773,0.001974592,0.01330764,0.005313623,0.01335289,0.003590707,0.07820612,0.0001251919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622657,0.001096839,0.004144818,0.0001448938,0.0000955308,0.0001030373,0.01928642,0.0001399167,0.01272288],"genre_scores_gemma":[0.977536,0.0003773462,0.003635597,0.00003786656,0.00003438392,0.0001993452,0.01590992,0.00009917166,0.002170309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004568661,"threshold_uncertainty_score":0.0152837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974991592","doi":"10.3758/s13428-013-0403-5","title":"Concreteness ratings for 40 thousand generally known English word lemmas","year":2013,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":1876,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Concreteness; Word (group theory); Crowdsourcing; Psychology; Set (abstract data type); Cognitive psychology; Computer science; Word lists by frequency; Natural language processing; Linguistics; World Wide Web","authors":[{"name":"Marc Brysbaert","is_ca":false},{"name":"Amy Beth Warriner","is_ca":true},{"name":"Victor Kuperman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2074451318612571,"gpt":0.5283622746603649,"spread":0.3209171427991078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172606,0.0002935376,0.0003172861,0.00108534,0.000303867,0.0006904234,0.0001867598,0.0006248463,0.009587685],"category_scores_gemma":[0.01569554,0.0002179815,0.0003071732,0.0006037232,0.0003783651,0.0009452862,0.0006022115,0.0004947548,0.0018142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936499,"about_ca_system_score_gemma":0.000100524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005632723,"about_ca_topic_score_gemma":0.001093315,"domain_scores_codex":[0.9989207,0.0003082101,0.000217205,0.0002288877,0.0002666894,0.00005833724],"domain_scores_gemma":[0.9813175,0.01330239,0.00159708,0.001110432,0.001944835,0.0007278718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.015054,0.002565728,0.3690881,0.002331884,0.0005737377,0.001425608,0.03345014,0.001374184,0.3128424,0.004345196,0.008168549,0.2487806],"study_design_scores_gemma":[0.0001489278,0.003103943,0.9695815,0.00009076022,0.0001521794,0.001296369,0.002587912,0.001485023,0.01395151,0.0008970596,0.006613131,0.0000916356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922248,0.0002593847,0.0008617724,0.00002586532,0.00002905649,0.00005097724,0.0006695415,0.00005741964,0.005821123],"genre_scores_gemma":[0.9906389,0.000220776,0.002554322,0.00004229781,0.0000230585,0.0000819161,0.001727886,0.00006387766,0.00464705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009587685,"threshold_uncertainty_score":0.03207397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127637041","doi":"10.3758/s13428-020-01516-y","title":"NeuroKit2: A Python toolbox for neurophysiological signal processing","year":2021,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1285,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Courtois Foundation","keywords":"Python (programming language); Toolbox; Computer science; Neurophysiology; Suite; Signal processing; Human–computer interaction; Data processing; Digital signal processing; Software engineering; Artificial intelligence; Computer architecture; Programming language; Computer hardware; Database; Psychology; Neuroscience","authors":[{"name":"Dominique Makowski","is_ca":false},{"name":"Tam Pham","is_ca":false},{"name":"Zen Juen Lau","is_ca":false},{"name":"Jan C. Brammer","is_ca":false},{"name":"François Lespinasse","is_ca":true},{"name":"Hung Pham","is_ca":false},{"name":"Christopher Schölzel","is_ca":false},{"name":"Shen‐Hsing Annabel Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4769790090589294,"gpt":0.582458395201068,"spread":0.1054793861421386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007026048,0.001842403,0.0008077672,0.001205326,0.0004730176,0.001426536,0.002416648,0.000821373,0.08657658],"category_scores_gemma":[0.003148864,0.0009830943,0.001147156,0.0008096228,0.000417266,0.001248781,0.00188679,0.001871891,0.04301833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101738,"about_ca_system_score_gemma":0.001354678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681019,"about_ca_topic_score_gemma":0.005488098,"domain_scores_codex":[0.999625,0.000044565,0.0000493061,0.00010271,0.0001137201,0.00006466803],"domain_scores_gemma":[0.9990314,0.0004028193,0.0000653891,0.0001690987,0.0002408093,0.00009052347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008111011,0.0002847162,0.003089774,0.002334128,0.0003656761,0.0006709486,0.0004597833,0.01483594,0.03188312,0.01589401,0.5828701,0.3465007],"study_design_scores_gemma":[0.0007900568,0.0002035786,0.008725858,0.0005125254,0.0002174097,0.00147528,0.0001473637,0.3346176,0.1019801,0.07826226,0.4726486,0.0004195804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002797434,0.0001661873,0.5029146,0.0001436917,0.0001552592,0.0002271566,0.01753788,0.4691687,0.006889035],"genre_scores_gemma":[0.07050209,0.0005433328,0.6523693,0.001271402,0.0001530564,0.00258817,0.04272526,0.194187,0.03566047],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08657658,"threshold_uncertainty_score":0.2896275,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979532929","doi":"10.3758/s13428-012-0210-4","title":"Age-of-acquisition ratings for 30,000 English words","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":1250,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Economic and Social Research Council","keywords":"Age of Acquisition; Vocabulary; Lexicon; Noun; Crowdsourcing; Computer science; Psychology; Natural language processing; Word (group theory); Variance (accounting); Similarity (geometry); Correlation; Artificial intelligence; Linguistics; Statistics; Mathematics; Cognition; World Wide Web","authors":[{"name":"Victor Kuperman","is_ca":true},{"name":"Hans Stadthagen-González","is_ca":false},{"name":"Marc Brysbaert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2541210475944673,"gpt":0.5307494941877987,"spread":0.2766284465933314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00219958,0.0004011386,0.0004478338,0.001088299,0.0003608512,0.000669493,0.0002510975,0.0006906432,0.006424319],"category_scores_gemma":[0.01740133,0.0002156908,0.0004927358,0.0002530015,0.0002345559,0.0009735503,0.0007124637,0.000610126,0.003321047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499827,"about_ca_system_score_gemma":0.0001967867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002724173,"about_ca_topic_score_gemma":0.008078604,"domain_scores_codex":[0.9988474,0.0002104888,0.0002175937,0.0001713246,0.0004300819,0.0001231347],"domain_scores_gemma":[0.9786071,0.008067862,0.003168167,0.001124297,0.007026969,0.002005768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004041806,0.001511078,0.9128309,0.0002131425,0.0001992327,0.0004339472,0.004927331,0.0005428877,0.02438618,0.0001883218,0.00336576,0.04735943],"study_design_scores_gemma":[0.0000169356,0.001394453,0.9941053,0.00001279346,0.00002839323,0.0002179366,0.0007169137,0.0002403972,0.001915158,0.0000297705,0.001302534,0.00001931144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928665,0.0001507029,0.000258929,0.00002423439,0.0000446358,0.00008411236,0.0009470966,0.00002917677,0.005594642],"genre_scores_gemma":[0.984288,0.0002749752,0.0009805294,0.00008544661,0.00004387606,0.000144384,0.002645883,0.0000326668,0.01150419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006424319,"threshold_uncertainty_score":0.02149147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013137720","doi":"10.3758/brm.42.3.671","title":"Controlling low-level image properties: The SHINE toolbox","year":2010,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":1232,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Université de Montréal","funders":"Université de Montréal","keywords":"Toolbox; Computer science; Image (mathematics); Artificial intelligence; Programming language","authors":[{"name":"Verena Willenbockel","is_ca":true},{"name":"Javid Sadr","is_ca":false},{"name":"Daniel Fiset","is_ca":true},{"name":"Greg O. Horne","is_ca":true},{"name":"Frédéric Gosselin","is_ca":true},{"name":"James W. Tanaka","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.362298902592299,"gpt":0.5548363531033043,"spread":0.1925374505110053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001259571,0.0005987347,0.0008827753,0.0006322556,0.0002454465,0.0009071032,0.001208696,0.0006038262,0.004789716],"category_scores_gemma":[0.00354985,0.0004416287,0.0005826798,0.0002927369,0.001188818,0.002450247,0.001252921,0.0009786227,0.0004294717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299212,"about_ca_system_score_gemma":0.0003953115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009315982,"about_ca_topic_score_gemma":0.0009829135,"domain_scores_codex":[0.9997669,0.00009164572,0.000007507079,0.00007764213,0.00004113981,0.00001520454],"domain_scores_gemma":[0.9987796,0.0007257901,0.0001021713,0.0002718223,0.0000627452,0.00005794146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003842126,0.0003669928,0.002445095,0.0005974062,0.0003388159,0.00009637125,0.000395524,0.08503953,0.09264565,0.3244131,0.003128602,0.4901487],"study_design_scores_gemma":[0.00006055244,0.0001608381,0.002615259,0.00003516539,0.00005061614,0.00005333673,0.00005157764,0.6998878,0.007762722,0.2864043,0.002877858,0.00004020796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01968877,0.0005741026,0.9755841,0.0003487482,0.00003790783,0.00003412266,0.00007855584,0.0005010426,0.0031526],"genre_scores_gemma":[0.5230075,0.001221359,0.4692475,0.0002008049,0.00008928802,0.0002786193,0.00007406939,0.0003087679,0.005572038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004789716,"threshold_uncertainty_score":0.01602316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078894097","doi":"10.3758/bf03192726","title":"Semantic feature production norms for a large set of living and nonliving things","year":2005,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":1102,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"The Scarborough Hospital; University of Toronto; Western University","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; U.S. Public Health Service; National Institutes of Health","keywords":"Categorization; Set (abstract data type); Feature (linguistics); Computer science; Cognitive psychology; Semantic memory; Semantic feature; Psychology; Neuropsychology; Semantics (computer science); Cognitive science; Natural language processing; Artificial intelligence; Cognition; Linguistics","authors":[{"name":"Ken McRae","is_ca":true},{"name":"George S. Cree","is_ca":true},{"name":"Mark S. Seidenberg","is_ca":false},{"name":"Chris McNorgan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1772768251816343,"gpt":0.5544826933288824,"spread":0.3772058681472482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004497224,0.0003771181,0.0003492434,0.001398707,0.0005301875,0.002163391,0.0007566455,0.0005862678,0.00391911],"category_scores_gemma":[0.0300722,0.0002599437,0.0006350726,0.0005636157,0.00137445,0.003103406,0.001279212,0.0009175971,0.0004501514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453681,"about_ca_system_score_gemma":0.0004723875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008235089,"about_ca_topic_score_gemma":0.000949683,"domain_scores_codex":[0.9959953,0.0009823943,0.0005265272,0.0007501225,0.00158701,0.0001586443],"domain_scores_gemma":[0.9695812,0.02039296,0.001585402,0.003168476,0.004801111,0.0004708186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001536125,0.0005770673,0.06118591,0.000733466,0.000194545,0.0009306757,0.01031891,0.007608554,0.05557561,0.5385011,0.007772257,0.3150659],"study_design_scores_gemma":[0.0002057523,0.0004987782,0.1131715,0.0002572993,0.0001964053,0.003034799,0.004811578,0.09751406,0.04184833,0.7123582,0.02589774,0.0002054823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6133311,0.0003359562,0.3361277,0.0004157545,0.0001209911,0.0003071142,0.004523308,0.001167746,0.0436704],"genre_scores_gemma":[0.9235185,0.00006751696,0.07148205,0.00003922786,0.00004228966,0.0003814736,0.003076779,0.0002565718,0.00113561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004497224,"threshold_uncertainty_score":0.02378392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151069696","doi":"10.3758/s13428-010-0049-5","title":"A tutorial on a practical Bayesian alternative to null-hypothesis significance testing","year":2011,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":773,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Null hypothesis; Null (SQL); Statistical hypothesis testing; Bayesian probability; Bayes factor; Alternative hypothesis; Computer science; p-value; Worksheet; Bayesian inference; Significance testing; Multiple comparisons problem; Bayesian statistics; Econometrics; Artificial intelligence; Statistics; Data mining; Psychology; Mathematics","authors":[{"name":"Michael E. J. Masson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7699708216302553,"gpt":0.5899453915272571,"spread":0.1800254301029982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01237002,0.002565902,0.002025316,0.002249263,0.0007223131,0.002648398,0.003336165,0.003547146,0.03417751],"category_scores_gemma":[0.0530228,0.001794733,0.001973987,0.002308599,0.001912165,0.004760538,0.003114718,0.006797999,0.01524558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005222,"about_ca_system_score_gemma":0.001881144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551552,"about_ca_topic_score_gemma":0.002659438,"domain_scores_codex":[0.9938472,0.00367688,0.0004579603,0.0004488272,0.00143767,0.0001314525],"domain_scores_gemma":[0.974019,0.02279413,0.00033554,0.001209011,0.001417768,0.0002246367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001032089,0.0001232232,0.0005041119,0.0009810601,0.0001736505,0.0006704489,0.000244733,0.01795786,0.002039226,0.4960235,0.07608768,0.4050914],"study_design_scores_gemma":[0.00005431615,0.00005625527,0.0002635139,0.00019166,0.00004582449,0.000784284,0.00004121874,0.06479944,0.0008985928,0.8596807,0.07311403,0.0000701966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001248036,0.0007959336,0.9959857,0.0005129626,0.0002908042,0.00003220968,0.0001230987,0.000378342,0.001756133],"genre_scores_gemma":[0.006276083,0.002457447,0.981403,0.0007868789,0.001184266,0.000476784,0.0004703201,0.000898093,0.006047069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03417751,"threshold_uncertainty_score":0.1143352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047902775","doi":"10.3758/s13428-012-0186-0","title":"MorePower 6.0 for ANOVA with relational confidence intervals and Bayesian analysis","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":645,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Statistics; Analysis of variance; Confidence interval; Bayesian probability; Statistical power; Computer science; Mixed-design analysis of variance; One-way analysis of variance; Calculator; Interpretation (philosophy); Sample size determination; Repeated measures design; Factorial; Mathematics","authors":[{"name":"Jamie I. D. Campbell","is_ca":true},{"name":"Valerie A. Thompson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5923435475429615,"gpt":0.5003782614832487,"spread":0.09196528605971277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02539291,0.00582036,0.006868795,0.005971809,0.002156839,0.00558349,0.007426024,0.003866949,0.3271444],"category_scores_gemma":[0.1219545,0.004004528,0.007439597,0.007195283,0.002488752,0.007545924,0.004933212,0.007514189,0.0425964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530939,"about_ca_system_score_gemma":0.005983457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006102361,"about_ca_topic_score_gemma":0.005154405,"domain_scores_codex":[0.9840682,0.006848436,0.002067532,0.002978909,0.002601922,0.001434845],"domain_scores_gemma":[0.879876,0.1046677,0.003868883,0.007086716,0.003475837,0.001024944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007073984,0.002078059,0.008901776,0.01082998,0.006188708,0.002234604,0.003682279,0.02014807,0.007101854,0.1241381,0.5357618,0.2718607],"study_design_scores_gemma":[0.005469358,0.002382005,0.01878652,0.003208141,0.003885373,0.001617928,0.0009417867,0.1453604,0.01772168,0.3308006,0.4684751,0.00135123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009133247,0.0006592118,0.7820601,0.001054611,0.001971204,0.003232955,0.06096353,0.1258171,0.01510792],"genre_scores_gemma":[0.02697649,0.0003001923,0.8917078,0.0006080543,0.0003864804,0.01942907,0.00779339,0.04132874,0.01146987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3271444,"threshold_uncertainty_score":0.9597469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138172448","doi":"10.3758/brm.40.2.531","title":"The Montreal Affective Voices: A validated set of nonverbal affect bursts for research on auditory affective processing","year":2008,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":476,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; Medical Research Council","keywords":"Sadness; Psychology; Disgust; Anger; Surprise; Affect (linguistics); Happiness; Valence (chemistry); Audiology; Nonverbal communication; Arousal; Facial expression; Developmental psychology; Clinical psychology; Social psychology; Communication","authors":[{"name":"Pascal Belin","is_ca":false},{"name":"Sarah Fillion-Bilodeau","is_ca":true},{"name":"Frédéric Gosselin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5345840841783612,"gpt":0.6108165772882865,"spread":0.0762324931099253,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343175,0.001027588,0.0004313286,0.001426953,0.0006222693,0.0007929686,0.0007742015,0.0009266311,0.00569622],"category_scores_gemma":[0.005422966,0.0002377191,0.0005756661,0.0008394723,0.000554402,0.0006457542,0.0008482852,0.0003925728,0.001125019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000786557,"about_ca_system_score_gemma":0.0008135732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00905499,"about_ca_topic_score_gemma":0.03394859,"domain_scores_codex":[0.9989535,0.0002443589,0.00009433668,0.0001633072,0.0004430882,0.0001014566],"domain_scores_gemma":[0.9983828,0.0004912885,0.0003081947,0.0001606771,0.0004873807,0.0001696622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01003599,0.001340082,0.1413784,0.001917248,0.0008134075,0.001198882,0.002268689,0.00696279,0.3739638,0.004190712,0.02241654,0.4335136],"study_design_scores_gemma":[0.0009311925,0.002423785,0.9279378,0.0001146836,0.000512341,0.001168088,0.0003825818,0.005582595,0.03227722,0.001123426,0.02735934,0.0001868653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8396513,0.002489521,0.08462793,0.0003744723,0.0003966738,0.01506952,0.02518439,0.001781889,0.03042438],"genre_scores_gemma":[0.8260823,0.00220278,0.1081401,0.001007952,0.0003764083,0.02587675,0.01745393,0.00108484,0.01777497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00905499,"threshold_uncertainty_score":0.01905572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2594456685","doi":"10.3758/s13428-017-0867-9","title":"The language and social background questionnaire: Assessing degree of bilingualism in a diverse population","year":2017,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":415,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience of multilingualism; Psychology; Cognition; Population; Language proficiency; Developmental psychology; Cognitive psychology; Medicine; Mathematics education","authors":[{"name":"John A. E. Anderson","is_ca":true},{"name":"Lorinda Mak","is_ca":true},{"name":"Aram Keyvani Chahi","is_ca":true},{"name":"Ellen Bialystok","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5036851353495614,"gpt":0.6149425197020493,"spread":0.1112573843524879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020272,0.0003286804,0.0003746511,0.001224258,0.0007616204,0.0005141726,0.0003664306,0.0006697231,0.001554923],"category_scores_gemma":[0.002629392,0.0002362486,0.0003501172,0.0006184236,0.000372352,0.0006028078,0.0009378336,0.0006782677,0.000408946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005073047,"about_ca_system_score_gemma":0.0005248079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007913302,"about_ca_topic_score_gemma":0.01609792,"domain_scores_codex":[0.9995721,0.0001074952,0.00006016419,0.00005525122,0.0001409585,0.00006406124],"domain_scores_gemma":[0.9987465,0.0001804909,0.0003762266,0.00004948606,0.0002333575,0.0004138488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001203242,0.0003957584,0.9933637,0.00001321256,0.00003816439,0.0001989014,0.001219392,0.00004559466,0.0015719,0.00003527956,0.0002432106,0.00275452],"study_design_scores_gemma":[0.000009412405,0.000139574,0.9984302,0.000002858427,0.000006076839,0.0001954175,0.0008213868,0.0001099087,0.000111246,0.00002048797,0.0001487642,0.000004569836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991684,0.00002300604,0.0000794454,0.00003518516,0.00000350202,0.00004343777,0.000148192,0.000002001641,0.000496876],"genre_scores_gemma":[0.9985648,0.00005092985,0.0003300281,0.00005330388,0.000005439879,0.0001063007,0.0003828836,0.000003502095,0.0005027603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007913302,"threshold_uncertainty_score":0.01573443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889916852","doi":"10.3758/s13428-019-01293-3","title":"Survey-software implicit association tests: A methodological and empirical analysis","year":2019,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":313,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Psychology; Implicit-association test; Software; Applied psychology; Association (psychology); Empirical research; Data science; Computer science; Social psychology; Statistics","authors":[{"name":"Thomas P. Carpenter","is_ca":false},{"name":"Ruth Pogacar","is_ca":true},{"name":"Chris Pullig","is_ca":false},{"name":"Michal Kouril","is_ca":false},{"name":"Stephen J. Aguilar","is_ca":false},{"name":"Jordan P. LaBouff","is_ca":false},{"name":"Naomi Isenberg","is_ca":false},{"name":"Alek Chakroff","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.679021047517433,"gpt":0.7112710266822435,"spread":0.03224997916481054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05848231,0.0006170566,0.0009021656,0.00303274,0.000872597,0.002174061,0.001783155,0.001200922,0.006422109],"category_scores_gemma":[0.3276721,0.0006588045,0.001113363,0.004724497,0.001551875,0.003251692,0.002817001,0.00154748,0.0008148063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000823797,"about_ca_system_score_gemma":0.001999719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730861,"about_ca_topic_score_gemma":0.002107814,"domain_scores_codex":[0.8989581,0.08764738,0.003214528,0.002925361,0.006554995,0.0006996603],"domain_scores_gemma":[0.4072968,0.5349925,0.01926834,0.02322864,0.01413718,0.001076497],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006761535,0.002166497,0.5826616,0.0006916848,0.001333006,0.0001078183,0.002825422,0.005481711,0.001789723,0.0253171,0.002557658,0.3683063],"study_design_scores_gemma":[0.002375151,0.01356591,0.6960325,0.0005286202,0.00269751,0.002093077,0.003801325,0.176295,0.0129898,0.07702013,0.01226305,0.0003378444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6680726,0.0006142022,0.3199365,0.0003632453,0.0001728252,0.001313757,0.001143344,0.0006004974,0.007783122],"genre_scores_gemma":[0.91301,0.000243898,0.08206502,0.0001573092,0.00007876463,0.001637544,0.0005910706,0.0001652478,0.002051043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9415177,"threshold_uncertainty_score":0.3092877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084990311","doi":"10.3758/bf03192800","title":"Behavioral phenotyping in zebrafish: Comparison of three behavioral quantification methods","year":2006,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":299,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"College of Family Physicians of Canada; University of Toronto","funders":"","keywords":"Zebrafish; Novelty; Aggression; Animal behavior; Brain function; Neuroscience; Behavioral pattern; Psychology; Biology; Computer science; Developmental psychology; Genetics; Zoology; Gene","authors":[{"name":"Rachel Blaser","is_ca":false},{"name":"Robert Gerlai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3236072011575465,"gpt":0.6104451046833086,"spread":0.2868379035257621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004779532,0.00159887,0.001249006,0.004818756,0.0008788296,0.00101795,0.002033597,0.001356157,0.002107458],"category_scores_gemma":[0.006161568,0.001028981,0.001418663,0.001398305,0.0009374231,0.001206108,0.001531275,0.001713364,0.0007794043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009745674,"about_ca_system_score_gemma":0.00104021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003225187,"about_ca_topic_score_gemma":0.007212362,"domain_scores_codex":[0.9954433,0.0007130178,0.0004563066,0.0007825026,0.002273645,0.0003311679],"domain_scores_gemma":[0.9911585,0.003181918,0.001649761,0.001014935,0.002501034,0.0004937573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002118503,0.0006811512,0.02526805,0.001294254,0.000433638,0.00008256039,0.000456519,0.001462884,0.7981322,0.001028672,0.001204229,0.1678373],"study_design_scores_gemma":[0.0001790635,0.002157608,0.1455928,0.0001670134,0.0008948204,0.001144607,0.0003172781,0.01667645,0.8261146,0.001102183,0.005228768,0.0004248222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2733005,0.004587307,0.7065342,0.0006109108,0.0003729148,0.001380592,0.003455088,0.003754293,0.006004128],"genre_scores_gemma":[0.2972894,0.00612048,0.6774328,0.0004522782,0.0001680663,0.004291512,0.003009555,0.001311761,0.009924151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004818756,"threshold_uncertainty_score":0.0252769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037416776","doi":"10.3758/brm.42.3.847","title":"A general framework and an R package for the detection of dichotomous differential item functioning","year":2010,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":288,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Differential item functioning; R package; Set (abstract data type); Differential (mechanical device); Psychometrics; Item response theory; Computer science; Psychology; Cognitive psychology; Artificial intelligence; Developmental psychology; Programming language","authors":[{"name":"David Magis","is_ca":false},{"name":"Sébastien Béland","is_ca":true},{"name":"Francis Tuerlinckx","is_ca":false},{"name":"Paul De Boeck","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7240286491433732,"gpt":0.6707538589519908,"spread":0.05327479019138237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04601972,0.004963258,0.002884641,0.006722646,0.001259428,0.003610482,0.004279596,0.00191059,0.02089152],"category_scores_gemma":[0.1625387,0.003058325,0.006447131,0.007073926,0.002103312,0.002439942,0.004302854,0.003810372,0.01378511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131742,"about_ca_system_score_gemma":0.005073532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787803,"about_ca_topic_score_gemma":0.003687981,"domain_scores_codex":[0.9615539,0.02315685,0.004898923,0.00413188,0.00538222,0.0008761411],"domain_scores_gemma":[0.8918447,0.08152804,0.004886547,0.01393364,0.00731067,0.0004964182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001025437,0.0009109039,0.05400797,0.005086186,0.003818564,0.0008588733,0.00282194,0.02294393,0.01180458,0.1604346,0.1167145,0.6195725],"study_design_scores_gemma":[0.001783015,0.002039363,0.1098167,0.002566334,0.002812503,0.004047345,0.0009959253,0.2510715,0.02852013,0.3240361,0.2710752,0.00123575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004188087,0.0001231201,0.9784245,0.0003109301,0.00005518332,0.002109685,0.004802698,0.008407597,0.00157827],"genre_scores_gemma":[0.01686679,0.00006859654,0.9706581,0.0001187925,0.00002911277,0.007190875,0.002439614,0.001648836,0.0009792296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04601972,"threshold_uncertainty_score":0.2433785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027900864","doi":"10.3758/s13428-012-0289-7","title":"SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients","year":2013,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":287,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"NOSM University; Lakehead University","funders":"","keywords":"Rounding; Raw data; Computer science; Statistics; Pearson product-moment correlation coefficient; Regression analysis; Regression; Software; Data mining; Mathematics; Programming language","authors":[{"name":"Bruce Weaver","is_ca":true},{"name":"Karl L. Wuensch","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6740604188140626,"gpt":0.6686980108350041,"spread":0.005362407979058514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121569,0.001470509,0.001991292,0.004688128,0.0009129455,0.002028451,0.001683562,0.0008712793,0.08317594],"category_scores_gemma":[0.1042837,0.0010031,0.001895316,0.005512815,0.000821378,0.001855235,0.001455923,0.004039407,0.01579506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840426,"about_ca_system_score_gemma":0.004187015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462547,"about_ca_topic_score_gemma":0.004388659,"domain_scores_codex":[0.9828996,0.008325999,0.002312609,0.001525621,0.00424116,0.0006950343],"domain_scores_gemma":[0.8533656,0.1160344,0.008581193,0.01232885,0.008885411,0.0008046172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002126862,0.002117512,0.03001766,0.004153195,0.001272696,0.0005226677,0.00391155,0.006126064,0.00519319,0.06703836,0.3528089,0.5247113],"study_design_scores_gemma":[0.001816932,0.004245288,0.1324662,0.002435705,0.002171271,0.00180797,0.006434797,0.06314035,0.0303635,0.1560548,0.5984094,0.0006538559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06203182,0.0005360874,0.7245645,0.001170793,0.001812372,0.006146688,0.08761439,0.05927023,0.05685313],"genre_scores_gemma":[0.1318375,0.0005984352,0.7596003,0.0006202571,0.0003519877,0.03503447,0.02325575,0.01779232,0.03090894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08317594,"threshold_uncertainty_score":0.2782512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2021096528","doi":"10.3758/s13428-015-0576-1","title":"Is the cognitive reflection test a measure of both reflection and intuition?","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":254,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Intuition; Cognition; Cognitive psychology; Psychology; Measure (data warehouse); Cognitive style; Computer science; Cognitive science; Data mining","authors":[{"name":"Gordon Pennycook","is_ca":true},{"name":"James Allan Cheyne","is_ca":true},{"name":"Derek J. Koehler","is_ca":true},{"name":"Jonathan A. Fugelsang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5571369298902951,"gpt":0.6457370586835582,"spread":0.08860012879326318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006943848,0.0006325693,0.0009003553,0.001396112,0.0003773367,0.002106928,0.001044726,0.001397876,0.003219478],"category_scores_gemma":[0.05974798,0.0004068115,0.001135872,0.0008325089,0.001033136,0.002657333,0.000988596,0.001537021,0.001338205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004168027,"about_ca_system_score_gemma":0.0009255167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000598535,"about_ca_topic_score_gemma":0.0008330196,"domain_scores_codex":[0.9943193,0.00197516,0.0005712743,0.0004958711,0.002370104,0.0002683389],"domain_scores_gemma":[0.9447405,0.02800661,0.01408275,0.005782591,0.004897529,0.002490027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001926545,0.005292853,0.7199579,0.0003158963,0.001142552,0.0001565698,0.003177261,0.001385995,0.007994952,0.003178098,0.004503832,0.2509675],"study_design_scores_gemma":[0.000370081,0.006285622,0.9560143,0.0003192265,0.0003641387,0.0008555598,0.002994983,0.005498107,0.01087114,0.01042555,0.005852143,0.000149089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619119,0.0005487358,0.009304777,0.001607924,0.000285318,0.0002678608,0.0002780195,0.0002411146,0.02555442],"genre_scores_gemma":[0.9878864,0.0003602898,0.007157978,0.0003881547,0.00008843261,0.0003447496,0.0002284078,0.00005719847,0.003488267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006943848,"threshold_uncertainty_score":0.03672302,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308017781","doi":"10.3758/s13428-022-01999-x","title":"Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk","year":2022,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":227,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Vetting; Data quality; Psychology; Quality (philosophy); Sample (material); Applied psychology; Computer science; Computer security; Operations management","authors":[{"name":"David Hauser","is_ca":true},{"name":"Aaron J. Moss","is_ca":false},{"name":"Cheskie Rosenzweig","is_ca":false},{"name":"Shalom Noach Jaffe","is_ca":false},{"name":"Jonathan Robinson","is_ca":false},{"name":"Leib Litman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8107478869005017,"gpt":0.6970883390979823,"spread":0.1136595478025194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06308426,0.0005612744,0.0005866969,0.001488889,0.00253437,0.003907966,0.001991632,0.001395024,0.00468292],"category_scores_gemma":[0.2851399,0.0004387481,0.0006518327,0.001190392,0.003005466,0.004322717,0.003399157,0.001451848,0.002559501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406168,"about_ca_system_score_gemma":0.004162272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248482,"about_ca_topic_score_gemma":0.007339237,"domain_scores_codex":[0.9525912,0.02787052,0.003009371,0.00415513,0.01060504,0.001768689],"domain_scores_gemma":[0.6823344,0.1552774,0.05320716,0.04585618,0.05178805,0.01153684],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006818337,0.004300511,0.6717526,0.0007442727,0.0002003796,0.0004390627,0.04773401,0.001209746,0.008174689,0.006373896,0.02351073,0.2287418],"study_design_scores_gemma":[0.001325369,0.0122567,0.8352779,0.0005192125,0.0003399206,0.0006016122,0.03624173,0.02110735,0.01556551,0.006748512,0.06966621,0.0003500526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818307,0.0000906783,0.006999319,0.001230251,0.0001128742,0.001780067,0.0003792909,0.0005931922,0.00698365],"genre_scores_gemma":[0.9756415,0.00005827204,0.01733141,0.000804005,0.00006440888,0.002535358,0.0006200693,0.0002656564,0.002679162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9369158,"threshold_uncertainty_score":0.3336254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058821124","doi":"10.3758/brm.40.2.428","title":"Comparing online and lab methods in a problem-solving experiment","year":2008,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":216,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Psychology; Mathematics education","authors":[{"name":"Frédéric Dandurand","is_ca":true},{"name":"Thomas R. Shultz","is_ca":true},{"name":"Kristine H. Onishi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4997630286426059,"gpt":0.6502886072233989,"spread":0.150525578580793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01023296,0.0008713976,0.0009237583,0.0007815724,0.0006767936,0.001562139,0.001475965,0.001373827,0.005161557],"category_scores_gemma":[0.04148995,0.0004595437,0.0003801351,0.0005892377,0.0006786809,0.001900766,0.001429091,0.001417594,0.0009578688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937185,"about_ca_system_score_gemma":0.001441833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051311,"about_ca_topic_score_gemma":0.001033291,"domain_scores_codex":[0.9923238,0.004916586,0.0005784365,0.0008984111,0.0009852457,0.0002975281],"domain_scores_gemma":[0.9275929,0.05892638,0.003091718,0.004608953,0.003223296,0.002556584],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.08310872,0.3315613,0.03326537,0.001269828,0.0005819889,0.0001280192,0.01155604,0.006656519,0.08541422,0.004448626,0.002040448,0.4399689],"study_design_scores_gemma":[0.06061847,0.4263601,0.2145348,0.0006427774,0.001972226,0.0005378131,0.008521731,0.1077566,0.1360683,0.02075161,0.02155534,0.000680124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774595,0.0001017854,0.0164277,0.0001186267,0.000107375,0.001493153,0.0001292071,0.0001645947,0.003998203],"genre_scores_gemma":[0.9160045,0.0002787626,0.06417558,0.0002875287,0.0001403586,0.009024268,0.0003253238,0.0001756388,0.009588078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.989767,"threshold_uncertainty_score":0.05411768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2290759784","doi":"10.3758/s13428-015-0700-2","title":"Norms of valence and arousal for 14,031 Spanish words","year":2016,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":202,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Valence (chemistry); Psychology; Arousal; Verb; Emotional valence; Linguistics; Stimulus (psychology); Neuroscience of multilingualism; Cognitive psychology; Age of Acquisition; Social psychology; Cognition","authors":[{"name":"Hans Stadthagen-González","is_ca":false},{"name":"Constance Imbault","is_ca":true},{"name":"Miguel Ángel Pérez Sánchez","is_ca":false},{"name":"Marc Brysbaert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4258874139141428,"gpt":0.6267026890361848,"spread":0.200815275122042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002061705,0.0004214594,0.0002936221,0.0009994892,0.0003342735,0.0009020056,0.0002099536,0.0003197976,0.003167484],"category_scores_gemma":[0.01005083,0.0000908386,0.0002709047,0.0006548779,0.0003823265,0.0003405876,0.000417216,0.0003009869,0.001006403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148528,"about_ca_system_score_gemma":0.0003021248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446569,"about_ca_topic_score_gemma":0.004174666,"domain_scores_codex":[0.9987096,0.0004451487,0.0002073228,0.0002343946,0.000306322,0.00009730135],"domain_scores_gemma":[0.9942619,0.002121471,0.0005990038,0.0003709926,0.002431817,0.000214933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007105594,0.0007575438,0.718321,0.0005568151,0.0003882604,0.0003176579,0.009628242,0.0008714694,0.0444978,0.002451268,0.006046397,0.2090581],"study_design_scores_gemma":[0.00008208594,0.0006498442,0.9790741,0.00006932313,0.0000670455,0.0002629898,0.00404047,0.0007509165,0.004165447,0.001149288,0.009645763,0.00004278644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818618,0.0003058264,0.002776857,0.00005990683,0.0001335659,0.0002096587,0.002271862,0.00007528769,0.01230523],"genre_scores_gemma":[0.9829854,0.00034403,0.005328014,0.00008346386,0.00008801328,0.0009242322,0.00512881,0.0001429804,0.004974918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003167484,"threshold_uncertainty_score":0.01090348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3200635405","doi":"10.3758/s13428-021-01624-3","title":"Best research practices for using the Implicit Association Test","year":2021,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; McGill University","funders":"Economic and Social Research Council","keywords":"Implicit-association test; Psychology; Association (psychology); Test (biology); Implicit attitude; Social psychology; Selection (genetic algorithm); Cognitive psychology; Applied psychology; Computer science","authors":[{"name":"Anthony G. Greenwald","is_ca":false},{"name":"C. Miguel Brendl","is_ca":false},{"name":"Huajian Cai","is_ca":false},{"name":"Dario Cvencek","is_ca":false},{"name":"John F. Dovidio","is_ca":false},{"name":"Malte Friese","is_ca":false},{"name":"Adam Hahn","is_ca":false},{"name":"Eric Hehman","is_ca":true},{"name":"Wilhelm Hofmann","is_ca":false},{"name":"Sean Hughes","is_ca":false},{"name":"Ian Hussey","is_ca":false},{"name":"Christian H. Jordan","is_ca":true},{"name":"Teri A. Kirby","is_ca":false},{"name":"Calvin K. Lai","is_ca":false},{"name":"Jonas W. B. Lang","is_ca":false},{"name":"Kristen P. Lindgren","is_ca":false},{"name":"Dominika Maison","is_ca":false},{"name":"Brian D. Ostafin","is_ca":false},{"name":"James R. Rae","is_ca":false},{"name":"Kate A. Ratliff","is_ca":false},{"name":"Adriaan Spruyt","is_ca":false},{"name":"Reínout W. Wiers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8389178653384918,"gpt":0.783184058779802,"spread":0.05573380655868976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6407906,0.003333704,0.004487307,0.01743125,0.007751729,0.01199063,0.01014303,0.01299483,0.00565308],"category_scores_gemma":[0.8279899,0.004760612,0.007241205,0.01401043,0.01322294,0.01439255,0.007966874,0.0218298,0.008411207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007219016,"about_ca_system_score_gemma":0.0263898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006664325,"about_ca_topic_score_gemma":0.01548066,"domain_scores_codex":[0.1881207,0.6118799,0.1079697,0.01182575,0.0783514,0.001852492],"domain_scores_gemma":[0.1018205,0.5111716,0.04191716,0.09307736,0.2472112,0.004802207],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001052067,0.001042697,0.02039034,0.02050858,0.001946662,0.0005816523,0.02211517,0.001475782,0.002794451,0.03938158,0.1477341,0.7409769],"study_design_scores_gemma":[0.002298619,0.002897,0.03969032,0.1942096,0.004561956,0.002216223,0.02530134,0.01305985,0.02787961,0.1651826,0.5203677,0.002335305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01316486,0.03277205,0.6657611,0.2009874,0.01971835,0.02437872,0.002326063,0.003222706,0.03766884],"genre_scores_gemma":[0.02267023,0.007250939,0.933076,0.01191242,0.001183082,0.02114226,0.0005320939,0.0003716909,0.001861262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3592094,"threshold_uncertainty_score":0.4429691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968422660","doi":"10.3758/s13428-013-0426-y","title":"ANGST: Affective norms for German sentiment terms, derived from the affective norms for English words","year":2014,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":172,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"German; Valence (chemistry); Psychology; Arousal; Linguistics; Cognitive psychology; Social psychology","authors":[{"name":"David Schmidtke","is_ca":false},{"name":"Tobias Schröder","is_ca":true},{"name":"Arthur M. Jacobs","is_ca":false},{"name":"Markus Conrad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1183788676704029,"gpt":0.5231030567677374,"spread":0.4047241890973345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002945451,0.0005651332,0.0002241431,0.001472471,0.0003663649,0.001850795,0.0004590988,0.0004412761,0.008063547],"category_scores_gemma":[0.02673917,0.000202992,0.0004028086,0.000959245,0.0006963265,0.001299083,0.0009190032,0.000751499,0.001823542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401159,"about_ca_system_score_gemma":0.0003377348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442654,"about_ca_topic_score_gemma":0.002562502,"domain_scores_codex":[0.9976895,0.0007147801,0.0002729463,0.000347539,0.0008348516,0.000140409],"domain_scores_gemma":[0.9921924,0.004125171,0.001463655,0.0006045924,0.001310462,0.000303718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004540784,0.00119641,0.3221208,0.00145403,0.0005376143,0.0005240368,0.01754717,0.004522447,0.05138436,0.09575064,0.0478172,0.4526047],"study_design_scores_gemma":[0.0003020724,0.000910039,0.8393762,0.000283103,0.0002694331,0.001148421,0.005076203,0.03038453,0.01710015,0.05982702,0.04494742,0.0003754328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7888965,0.000322267,0.1321402,0.0003363078,0.0002864758,0.0009805926,0.0168251,0.002178261,0.05803436],"genre_scores_gemma":[0.9426677,0.00009747211,0.04208557,0.0001082637,0.00006135371,0.001740082,0.009262244,0.0005548605,0.003422388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008063547,"threshold_uncertainty_score":0.02697527,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039891070","doi":"10.3758/bf03192810","title":"SPSS and SAS programs for generalizability theory analyses","year":2006,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":166,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Generalizability theory; Computer science; Psychology; Developmental psychology","authors":[{"name":"Christopher J. Mushquash","is_ca":true},{"name":"Brian P. O’Connor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9596454361401149,"gpt":0.7860996307771648,"spread":0.1735458053629501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01988859,0.001789949,0.002228324,0.006665637,0.001306197,0.003127971,0.001568871,0.0007923092,0.1087888],"category_scores_gemma":[0.1347008,0.00153132,0.002311159,0.006873764,0.0009402372,0.003117946,0.001928485,0.00543518,0.02568113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303836,"about_ca_system_score_gemma":0.004971946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136103,"about_ca_topic_score_gemma":0.004010021,"domain_scores_codex":[0.9799625,0.01066444,0.002737831,0.00172618,0.004144711,0.0007644312],"domain_scores_gemma":[0.8176038,0.1321396,0.006784012,0.02571976,0.01696202,0.0007908967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000925875,0.001797459,0.01616076,0.002965647,0.0007287257,0.000347219,0.005710913,0.005307489,0.003049587,0.07330794,0.3457654,0.543933],"study_design_scores_gemma":[0.00155664,0.001730733,0.06264229,0.002296957,0.001448732,0.0008098196,0.006435853,0.05954558,0.0223147,0.2355008,0.6053033,0.0004146054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03621095,0.0003097749,0.7378261,0.001493827,0.001370726,0.01423138,0.07030912,0.06365109,0.07459705],"genre_scores_gemma":[0.07189094,0.0004464766,0.8045235,0.0006020825,0.0003290198,0.04820314,0.02391244,0.01599695,0.03409544],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1087888,"threshold_uncertainty_score":0.3639348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055350558","doi":"10.3758/s13428-014-0550-3","title":"A comparison of scanpath comparison methods","year":2014,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Measure (data warehouse); Encoding (memory); Eye movement; Natural language processing; Machine learning; Pattern recognition (psychology); Data mining","authors":[{"name":"Nicola Anderson","is_ca":false},{"name":"Fraser Anderson","is_ca":true},{"name":"Alan Kingstone","is_ca":true},{"name":"Walter F. Bischof","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4656973264764639,"gpt":0.6720252201736696,"spread":0.2063278936972057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09724731,0.001455053,0.002040098,0.00630792,0.001648744,0.002710938,0.003659999,0.001587477,0.02951332],"category_scores_gemma":[0.3149134,0.001243315,0.002318478,0.004981166,0.00139241,0.005593658,0.003814822,0.001960399,0.002711568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987701,"about_ca_system_score_gemma":0.004373601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003314042,"about_ca_topic_score_gemma":0.006976324,"domain_scores_codex":[0.8821374,0.09381374,0.006066774,0.00498009,0.01227894,0.0007230956],"domain_scores_gemma":[0.6069658,0.3241727,0.008348016,0.01794821,0.04091489,0.001650407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03539646,0.001281107,0.03892222,0.007220187,0.006318407,0.0001755832,0.004759376,0.00308532,0.003108053,0.01937192,0.01582627,0.864535],"study_design_scores_gemma":[0.03064011,0.04591341,0.3434351,0.01378751,0.01462521,0.003523564,0.01641996,0.1993411,0.02711107,0.145947,0.157709,0.001547085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968081,0.01757744,0.7332106,0.001386401,0.002360663,0.01210087,0.005909493,0.003904676,0.02674178],"genre_scores_gemma":[0.3953149,0.004593735,0.5665694,0.0006975733,0.0002498876,0.01715754,0.003697046,0.002236127,0.009483808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09724731,"threshold_uncertainty_score":0.514299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4225749806","doi":"10.3758/s13428-021-01762-8","title":"RETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline","year":2022,"lang":"en","type":"review","venue":"Behavior Research Methods","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":163,"is_retracted":true,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; SR Research (Canada)","funders":"National Eye Institute; National Cancer Institute; National Institute for Health and Care Research","keywords":"Guideline; Eye tracking; Foundation (evidence); Empirical research; Computer science; Empirical evidence; Quality (philosophy); Gaze; Tracking (education); Eye movement; Artificial intelligence; Psychology; Medicine; Statistics; Political science; Mathematics","authors":[{"name":"Kenneth Holmqvist","is_ca":false},{"name":"Saga Lee Örbom","is_ca":false},{"name":"Ignace T. C. Hooge","is_ca":false},{"name":"Diederick C. Niehorster","is_ca":false},{"name":"Robert G. Alexander","is_ca":false},{"name":"Richard Andersson","is_ca":false},{"name":"Jeroen S. Benjamins","is_ca":false},{"name":"Pieter Blignaut","is_ca":false},{"name":"Anne-Marie Brouwer","is_ca":false},{"name":"Lewis L. Chuang","is_ca":false},{"name":"Kirsten A. Dalrymple","is_ca":false},{"name":"Denis Drieghe","is_ca":false},{"name":"Matt J. Dunn","is_ca":false},{"name":"Ulrich Ettinger","is_ca":false},{"name":"Susann Fiedler","is_ca":false},{"name":"Tom Foulsham","is_ca":false},{"name":"Jos N. van der Geest","is_ca":false},{"name":"Dan Witzner Hansen","is_ca":false},{"name":"Samuel B. Hutton","is_ca":true},{"name":"Enkelejda Kasneci","is_ca":false},{"name":"Alan Kingstone","is_ca":true},{"name":"Paul C. Knox","is_ca":false},{"name":"Ellen M. Kok","is_ca":false},{"name":"Helena Lee","is_ca":false},{"name":"Joy Yeonjoo Lee","is_ca":false},{"name":"Jukka Leppänen","is_ca":false},{"name":"Stephen L. Macknik","is_ca":false},{"name":"Päivi Majaranta","is_ca":false},{"name":"Susana Martínez‐Conde","is_ca":false},{"name":"Antje Nuthmann","is_ca":false},{"name":"Marcus Nyström","is_ca":false},{"name":"Jacob Lund Orquin","is_ca":false},{"name":"Jorge Otero‐Millan","is_ca":false},{"name":"Soon Young Park","is_ca":false},{"name":"Stanislav Popelka","is_ca":false},{"name":"Frank A. Proudlock","is_ca":false},{"name":"Frank Renkewitz","is_ca":false},{"name":"Austin Roorda","is_ca":false},{"name":"Michael Schulte‐Mecklenbeck","is_ca":false},{"name":"Bonita Sharif","is_ca":false},{"name":"Frederick Shic","is_ca":false},{"name":"Mark Shovman","is_ca":false},{"name":"Mervyn G. Thomas","is_ca":false},{"name":"Ward Venrooij","is_ca":false},{"name":"Raimondas Zemblys","is_ca":false},{"name":"Roy S. Hessels","is_ca":false}],"retraction":{"nature":"Retraction","openalex_flagged":true},"screen_n_in":null,"score":{"opus":0.7737194927129117,"gpt":0.7106257387479584,"spread":0.06309375396495331,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2615162,0.001605866,0.004242264,0.00925839,0.003393648,0.007492394,0.009410536,0.01354956,0.006320932],"category_scores_gemma":[0.6604512,0.002086593,0.004470763,0.006887325,0.007568468,0.0102885,0.008627469,0.02129146,0.004701696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007558289,"about_ca_system_score_gemma":0.03907255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006725505,"about_ca_topic_score_gemma":0.007824491,"domain_scores_codex":[0.712227,0.1117135,0.1181806,0.006622232,0.04863726,0.002619282],"domain_scores_gemma":[0.2291,0.4860254,0.04812748,0.02061974,0.2120123,0.004115133],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001962996,0.0001032998,0.001498354,0.05308515,0.0004743563,0.0003694673,0.002044348,0.0003228565,0.0004813776,0.0286978,0.7483838,0.164343],"study_design_scores_gemma":[0.0001974688,0.0002225581,0.003744021,0.1851709,0.001634319,0.000753122,0.001465444,0.0007576901,0.001257562,0.02841707,0.77617,0.0002098639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001206312,0.1282925,0.04454369,0.6678098,0.1443482,0.003127953,0.003619508,0.0008748603,0.006177267],"genre_scores_gemma":[0.02908249,0.1879531,0.2227896,0.4742356,0.04996961,0.02298004,0.004695998,0.0008192372,0.007474436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7384838,"threshold_uncertainty_score":0.910682,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2747940070","doi":"10.3758/s13428-017-0963-x","title":"The cognitive reflection test is robust to multiple exposures","year":2017,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":159,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Test (biology); Computer science; Cognition; Reflection (computer programming); Psychology; Cognitive psychology; Artificial intelligence; Statistics; Mathematics; Geology; Programming language; Neuroscience","authors":[{"name":"Michał Białek","is_ca":false},{"name":"Gordon Pennycook","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7821180915133141,"gpt":0.736822124123797,"spread":0.04529596738951713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008213527,0.0007464631,0.0008321976,0.001036398,0.0005345352,0.001266204,0.0009448077,0.001224675,0.003300947],"category_scores_gemma":[0.06368936,0.0004369469,0.001262662,0.0007104266,0.0007741544,0.0014506,0.001626608,0.002123196,0.00169551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462906,"about_ca_system_score_gemma":0.0007641274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262087,"about_ca_topic_score_gemma":0.001200187,"domain_scores_codex":[0.9913571,0.002276707,0.001205325,0.001731255,0.003023923,0.0004056102],"domain_scores_gemma":[0.9649339,0.01288222,0.009405733,0.006267389,0.005364722,0.001146028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003783403,0.00461366,0.7358806,0.0006821752,0.001704548,0.001023075,0.004378901,0.002088891,0.01522945,0.002758492,0.01355404,0.2143028],"study_design_scores_gemma":[0.0001328937,0.003758867,0.9656218,0.0001352762,0.0002078471,0.00114836,0.0005847677,0.002429064,0.009443247,0.003673534,0.01273726,0.0001270082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460854,0.0006967083,0.02352274,0.001010434,0.0003520094,0.001385583,0.002089902,0.0005954723,0.02426181],"genre_scores_gemma":[0.97765,0.0002605048,0.01224771,0.0005071129,0.0001197679,0.001350839,0.002155686,0.0001709629,0.005537327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008213527,"threshold_uncertainty_score":0.04343778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002429320","doi":"10.3758/s13428-013-0327-0","title":"Pupil diameter measurement errors as a function of gaze direction in corneal reflection eyetrackers","year":2013,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pupillometry; Gaze; Pupillary response; Pupil; Eye tracking; Psychology; Nonverbal communication; Cognitive psychology; Computer vision; Reflection (computer programming); Task (project management); Artificial intelligence; Computer science; Communication","authors":[{"name":"Julie Brisson","is_ca":true},{"name":"Marc Mainville","is_ca":true},{"name":"Dominique Mailloux","is_ca":true},{"name":"Christelle Beaulieu","is_ca":true},{"name":"Josette Serres","is_ca":false},{"name":"Sylvain Sirois","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3221110839369203,"gpt":0.5182101067454136,"spread":0.1960990228084933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002136897,0.0003658691,0.0004514426,0.0008047536,0.0003165793,0.0007371812,0.0004568908,0.0007888126,0.00132941],"category_scores_gemma":[0.02794464,0.0004795723,0.0003001507,0.0009214173,0.0002219357,0.001012638,0.0006373067,0.0006309078,0.0006261601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789006,"about_ca_system_score_gemma":0.0003894475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004993286,"about_ca_topic_score_gemma":0.004840002,"domain_scores_codex":[0.9979002,0.0006959861,0.0002453697,0.0004969545,0.0005214575,0.0001398345],"domain_scores_gemma":[0.9720395,0.01881654,0.002908766,0.002036534,0.003875986,0.0003227521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01482008,0.0005556861,0.5415263,0.0006465789,0.000460111,0.0003458763,0.004105908,0.008297667,0.244157,0.0004325781,0.001726631,0.1829256],"study_design_scores_gemma":[0.00006754803,0.001164842,0.9372199,0.00006252738,0.00020632,0.0007106375,0.0003737937,0.01398262,0.0453835,0.0001344408,0.0006377453,0.00005612193],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906766,0.0003593134,0.007726913,0.00003722527,0.00001993411,0.00002012597,0.0003583385,0.0001291423,0.0006723561],"genre_scores_gemma":[0.9937237,0.0002054475,0.004588848,0.0000369575,0.00001623218,0.00003716827,0.0003184261,0.000116596,0.0009567488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004993286,"threshold_uncertainty_score":0.01130116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124006395","doi":"10.3758/brm.42.2.393","title":"Exploring lexical co-occurrence space using HiDEx","year":2010,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Topic Modeling","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Representation (politics); Co-occurrence; Set (abstract data type); Space (punctuation); A priori and a posteriori; Semantic space; Lexical decision task; Natural language processing; Artificial intelligence; Basis (linear algebra); Semantic data model; Hyperspace; Mathematics; Cognition","authors":[{"name":"Cyrus Shaoul","is_ca":true},{"name":"Chris Westbury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8360044474353515,"gpt":0.6474662355025267,"spread":0.1885382119328248,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00202793,0.0007241619,0.0009594575,0.005002195,0.0008138604,0.00213821,0.0009393494,0.0006348629,0.008626315],"category_scores_gemma":[0.007404076,0.0003859182,0.001240577,0.004508861,0.0004189079,0.002351968,0.001851843,0.0008358816,0.00125342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752967,"about_ca_system_score_gemma":0.0008689869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194644,"about_ca_topic_score_gemma":0.006613588,"domain_scores_codex":[0.9989353,0.0004817338,0.00007535297,0.0002767375,0.0001326981,0.00009817931],"domain_scores_gemma":[0.99023,0.008671685,0.0002704417,0.0004721046,0.0002073629,0.0001483653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002899038,0.0005948304,0.07731365,0.0011914,0.0008342651,0.0008193899,0.006694003,0.02418538,0.03307972,0.02751751,0.008255824,0.8166149],"study_design_scores_gemma":[0.0001875132,0.0003565964,0.03934149,0.0001053929,0.0004017792,0.0007823943,0.003309883,0.8764722,0.01065702,0.05063141,0.01764314,0.0001113288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3068028,0.0008534086,0.6782501,0.0002683902,0.00005896116,0.0001360124,0.004533009,0.006520036,0.002577222],"genre_scores_gemma":[0.7415824,0.0003040385,0.2483015,0.00003221595,0.00004603372,0.0003547997,0.006355012,0.0005879025,0.00243616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008626315,"threshold_uncertainty_score":0.02885789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2522857466","doi":"10.3758/s13428-016-0811-4","title":"Test-based age-of-acquisition norms for 44 thousand English word meanings","year":2016,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":151,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Age of Acquisition; Word (group theory); Vocabulary; Test (biology); Word list; Psychology; Linguistics; Word recognition; Cognitive psychology; Computer science; Artificial intelligence; Cognition","authors":[{"name":"Marc Brysbaert","is_ca":false},{"name":"Andrew Biemiller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1987628173989918,"gpt":0.5479670901449614,"spread":0.3492042727459695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004938351,0.000486989,0.0003885875,0.002574149,0.0007137065,0.001430911,0.0007627957,0.0008343072,0.005031781],"category_scores_gemma":[0.02559778,0.0003360542,0.0006224945,0.0007589426,0.0006895172,0.001640702,0.001565614,0.0007442151,0.002513191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005739874,"about_ca_system_score_gemma":0.0006608895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266883,"about_ca_topic_score_gemma":0.008790785,"domain_scores_codex":[0.9955935,0.0007512779,0.001074693,0.000528144,0.001815126,0.0002372269],"domain_scores_gemma":[0.9669333,0.01082807,0.003624074,0.002458439,0.01469522,0.001460946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001739975,0.003190299,0.8195372,0.0002496689,0.0001580231,0.0005905863,0.01918364,0.001301129,0.02211424,0.004383234,0.005926239,0.1216257],"study_design_scores_gemma":[0.00005495763,0.001773965,0.9726487,0.00006565634,0.00004349932,0.0006752517,0.003681725,0.001152176,0.0110762,0.001330473,0.007434764,0.00006264118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781018,0.00008774421,0.003262602,0.00006013342,0.0000520398,0.0003714977,0.001814187,0.000148537,0.01610153],"genre_scores_gemma":[0.9721387,0.0001203745,0.009423642,0.00009035922,0.00001836375,0.0018443,0.005515866,0.0001728037,0.01067575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005031781,"threshold_uncertainty_score":0.02611679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210813972","doi":"10.3758/s13428-021-01772-6","title":"Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)","year":2022,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":149,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Universiteit Gent; Saint Petersburg State University; Israel Science Foundation; Fonds Wetenschappelijk Onderzoek; Eesti Teadusagentuur","keywords":"Reading (process); Eye movement; Computer science; Linguistics; Contrast (vision); Eye tracking; Word (group theory); Cognitive psychology; Empirical research; Diversity (politics); Psychology; Artificial intelligence; Sociology","authors":[{"name":"Noam Siegelman","is_ca":false},{"name":"Sascha Schroeder","is_ca":false},{"name":"Cengiz Acartürk","is_ca":false},{"name":"Hee-Don Ahn","is_ca":false},{"name":"Svetlana Alexeeva","is_ca":false},{"name":"Simona Amenta","is_ca":false},{"name":"Raymond Bertram","is_ca":false},{"name":"Rolando Bonandrini","is_ca":false},{"name":"Marc Brysbaert","is_ca":false},{"name":"Daria Chernova","is_ca":false},{"name":"Sara Maria Da Fonseca","is_ca":false},{"name":"Nicolas Dirix","is_ca":false},{"name":"Wouter Duyck","is_ca":false},{"name":"Argyro Fella","is_ca":false},{"name":"Ram Frost","is_ca":false},{"name":"Carolina Gattei","is_ca":false},{"name":"Areti Kalaitzi","is_ca":false},{"name":"Nayoung Kwon","is_ca":false},{"name":"Kaidi Lõo","is_ca":false},{"name":"Marco Marelli","is_ca":false},{"name":"Timothy C. Papadopoulos","is_ca":false},{"name":"Athanassios Protopapas","is_ca":false},{"name":"Satu Savo","is_ca":false},{"name":"Diego E. Shalóm","is_ca":false},{"name":"Natalia Slioussar","is_ca":false},{"name":"Roni Stein","is_ca":false},{"name":"Longjiao Sui","is_ca":false},{"name":"Analí Taboh","is_ca":false},{"name":"Veronica Tønnesen","is_ca":false},{"name":"Kerem Alp Usal","is_ca":false},{"name":"Victor Kuperman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4203943651102048,"gpt":0.6630701278381799,"spread":0.242675762727975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004057923,0.0004304338,0.0005312944,0.005402238,0.002108277,0.00369429,0.0008248935,0.000868067,0.007970511],"category_scores_gemma":[0.01453472,0.0002162171,0.0001696681,0.004495009,0.002113872,0.00307444,0.006518434,0.001208767,0.0009615605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196912,"about_ca_system_score_gemma":0.002481174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162895,"about_ca_topic_score_gemma":0.03822964,"domain_scores_codex":[0.9978688,0.0009541759,0.0002028816,0.000433654,0.0003750083,0.0001653812],"domain_scores_gemma":[0.9820478,0.01279043,0.0006048457,0.002016352,0.001768422,0.0007720904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001144912,0.0005394865,0.04008473,0.003392461,0.0001561315,0.001535005,0.0707918,0.0007936251,0.03593177,0.05640694,0.04182221,0.7474011],"study_design_scores_gemma":[0.0001189639,0.0002130505,0.3084545,0.002590835,0.000125646,0.002305059,0.04955725,0.001653961,0.0129112,0.01993063,0.6019387,0.0002001581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7625936,0.01913929,0.02129516,0.009203942,0.001373139,0.0003558928,0.02006407,0.0005191318,0.1654556],"genre_scores_gemma":[0.9437575,0.00448746,0.02524397,0.001347746,0.0004316546,0.0006679907,0.01137974,0.0007481939,0.0119357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01162895,"threshold_uncertainty_score":0.02666402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043356813","doi":"10.3758/s13428-012-0299-5","title":"Recurrence quantification analysis of eye movements","year":2013,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":148,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Recurrence quantification analysis; Gaze; Eye movement; Fixation (population genetics); Computer science; Artificial intelligence; Context (archaeology); Nonlinear system; Geography; Medicine","authors":[{"name":"Nicola Anderson","is_ca":true},{"name":"Walter F. Bischof","is_ca":true},{"name":"Kaitlin Laidlaw","is_ca":true},{"name":"Evan F. Risko","is_ca":false},{"name":"Alan Kingstone","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6078203590008676,"gpt":0.6485880780666875,"spread":0.04076771906581989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000695197,0.0004247103,0.0004884166,0.001904928,0.0002700656,0.0005277917,0.0004490252,0.000308802,0.002279788],"category_scores_gemma":[0.004246111,0.0001610083,0.0005650478,0.001345924,0.0002206829,0.000584554,0.0004089197,0.0003952712,0.0005709354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917022,"about_ca_system_score_gemma":0.0004453458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936609,"about_ca_topic_score_gemma":0.002806715,"domain_scores_codex":[0.9995185,0.0001254368,0.00003654759,0.0001412332,0.0001351613,0.00004313494],"domain_scores_gemma":[0.9979634,0.00099987,0.0003201722,0.0002761913,0.0003778138,0.00006255478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006401871,0.0001158015,0.01573949,0.0004621555,0.0002600483,0.000206513,0.0005711917,0.03997941,0.1776175,0.0208817,0.00413914,0.7393869],"study_design_scores_gemma":[0.00002475368,0.0001903458,0.05323324,0.00004241438,0.0001590673,0.0004006488,0.0001202092,0.901585,0.03189765,0.008375403,0.003905071,0.00006618517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1268876,0.0007072464,0.8682328,0.00009573567,0.00004663208,0.00006270396,0.0008288483,0.001067387,0.00207101],"genre_scores_gemma":[0.7773348,0.0003825597,0.2174923,0.00002909392,0.00008263266,0.0001194649,0.001194977,0.0002681304,0.003096073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002936609,"threshold_uncertainty_score":0.007626653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045733287","doi":"10.3758/s13428-020-01393-5","title":"A thorough evaluation of the Language Environment Analysis (LENA) system","year":2020,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Language Development and Disorders","field":"Psychology","cited_by":140,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation; National Institutes of Health; Agence Nationale de la Recherche","keywords":"Set (abstract data type); Language acquisition; Psychology; Computer science; Key (lock); Natural language processing; Mathematics education","authors":[{"name":"Alejandrina Cristià","is_ca":false},{"name":"Marvin Lavechin","is_ca":false},{"name":"Camila Scaff","is_ca":false},{"name":"Mélanie Söderström","is_ca":true},{"name":"Caroline F. Rowland","is_ca":false},{"name":"Okko Räsänen","is_ca":false},{"name":"John Bunce","is_ca":true},{"name":"Elika Bergelson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4149328441978206,"gpt":0.606574171447506,"spread":0.1916413272496855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01227329,0.0009104646,0.0006882803,0.002177428,0.001106428,0.002509416,0.001649433,0.0005090233,0.01219246],"category_scores_gemma":[0.02633859,0.0005625911,0.0006715319,0.0007915809,0.0007117291,0.002217568,0.002869145,0.0009081474,0.00441302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226867,"about_ca_system_score_gemma":0.003919492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005682792,"about_ca_topic_score_gemma":0.007858182,"domain_scores_codex":[0.990364,0.004490035,0.0008534279,0.0008375107,0.003187817,0.0002670779],"domain_scores_gemma":[0.9788622,0.009190657,0.0006071543,0.003474595,0.007413316,0.0004522102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001205026,0.000562351,0.04379442,0.0006975476,0.000250141,0.000432621,0.003221236,0.003968872,0.04896602,0.01439946,0.02008009,0.8624222],"study_design_scores_gemma":[0.000495243,0.002893075,0.1558924,0.001291768,0.0007206909,0.00358137,0.005551542,0.2010844,0.222513,0.0152568,0.3901994,0.0005202856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1556411,0.000725964,0.7450889,0.001904835,0.0003677419,0.002918394,0.005254715,0.04988752,0.03821089],"genre_scores_gemma":[0.2439127,0.0004313783,0.7280725,0.0005983734,0.00005931856,0.001370821,0.003201436,0.005154738,0.0171986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227329,"threshold_uncertainty_score":0.06490815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998828876","doi":"10.3758/s13428-013-0441-z","title":"Error bars in within-subject designs: a comment on Baguley (2012)","year":2014,"lang":"en","type":"letter","venue":"Behavior Research Methods","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":129,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Plot (graphics); Computer science; Standard error; Set (abstract data type); Subject (documents); Confidence interval; Factor (programming language); Statistics; Data set; Error bar; Algorithm; Artificial intelligence; Mathematics","authors":[{"name":"Denis Cousineau","is_ca":true},{"name":"Fearghal O’Brien","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8313740192000905,"gpt":0.6323470359685018,"spread":0.1990269832315886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1016267,0.002436826,0.004661108,0.00322842,0.007608947,0.005458322,0.01096733,0.05862172,0.006370651],"category_scores_gemma":[0.2873105,0.002842764,0.004116606,0.003584614,0.01526933,0.004877574,0.00388015,0.07060553,0.0150621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043427,"about_ca_system_score_gemma":0.00684524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694713,"about_ca_topic_score_gemma":0.03773937,"domain_scores_codex":[0.8886511,0.04369676,0.01165319,0.0141089,0.03851938,0.003370559],"domain_scores_gemma":[0.5845315,0.2880816,0.02250347,0.02711482,0.07295546,0.004813161],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001997174,0.00008516724,0.0004327175,0.0002873038,0.00006331687,0.0001851484,0.000527587,0.0001179287,0.0005339853,0.009363082,0.9707335,0.01747068],"study_design_scores_gemma":[0.0004561505,0.0002920658,0.01021977,0.002112999,0.0002812474,0.0005292317,0.0006448379,0.001555665,0.002405374,0.04797072,0.9332227,0.0003092889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008047476,0.003426957,0.009615141,0.848518,0.1301,0.0001739306,0.0005191845,0.001368875,0.005473203],"genre_scores_gemma":[0.005010795,0.0005475337,0.01016199,0.9267308,0.04654733,0.0006536711,0.00007321101,0.0003257895,0.009948827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8983733,"threshold_uncertainty_score":0.5374597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2067456760","doi":"10.3758/brm.41.2.337","title":"Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production","year":2009,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Writing and Handwriting Education","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Timeline; Keystroke logging; Computer science; Parsing; Keystroke dynamics; Cognition; Reading (process); Human–computer interaction; Matching (statistics); Identification (biology); Artificial intelligence; Natural language processing; Psychology; Password; Computer security","authors":[{"name":"Åsa Wengelin","is_ca":false},{"name":"Mark Torrance","is_ca":false},{"name":"Kenneth Holmqvist","is_ca":false},{"name":"Sol Simpson","is_ca":true},{"name":"David Galbraith","is_ca":false},{"name":"Victoria Johansson","is_ca":false},{"name":"Roger Johansson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4066462785331903,"gpt":0.6576008177856255,"spread":0.2509545392524352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298582,0.001316268,0.001223767,0.00296236,0.0006403783,0.001539628,0.001012131,0.001667319,0.002871655],"category_scores_gemma":[0.008497661,0.0008190598,0.000573354,0.00316191,0.0005261776,0.002702514,0.001351716,0.001268934,0.0006804892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546205,"about_ca_system_score_gemma":0.001179685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003761656,"about_ca_topic_score_gemma":0.01089386,"domain_scores_codex":[0.9964504,0.001176011,0.0002235761,0.0009972246,0.0009836253,0.0001690986],"domain_scores_gemma":[0.9892545,0.007810611,0.0007188709,0.0008216155,0.00115737,0.0002369999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002240789,0.002479522,0.05869007,0.001619554,0.0006214845,0.0003470783,0.002938609,0.002419696,0.4481535,0.001294446,0.001650889,0.4775444],"study_design_scores_gemma":[0.001856908,0.008092754,0.6024668,0.0006249219,0.002024219,0.004413076,0.003800781,0.07901566,0.2783303,0.007912666,0.01068579,0.0007761985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775492,0.003447796,0.4054782,0.0001996768,0.0003296544,0.001715873,0.002172044,0.001570014,0.007537503],"genre_scores_gemma":[0.5512817,0.001600143,0.4364545,0.000341094,0.0001822434,0.00360144,0.0005661338,0.0003224938,0.005650281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003761656,"threshold_uncertainty_score":0.01215619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142398106","doi":"10.3758/s13428-012-0203-3","title":"Recognizing vocal emotions in Mandarin Chinese: A validated database of Chinese vocal emotional stimuli","year":2012,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":123,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Sadness; Disgust; Mandarin Chinese; Anger; Happiness; Surprise; Psychology; Prosody; Audiology; Cognitive psychology; Speech recognition; Social psychology; Computer science; Linguistics","authors":[{"name":"Pan Liu","is_ca":true},{"name":"Marc D. Pell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3763723755228597,"gpt":0.6081377045351003,"spread":0.2317653290122406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512817,0.0005925594,0.0004991571,0.0008045891,0.0005009443,0.0004009093,0.0006374621,0.0005507846,0.003976132],"category_scores_gemma":[0.001200103,0.0001243372,0.0004251277,0.0006945447,0.0003099564,0.0003212656,0.0005849691,0.0002252653,0.001735562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193564,"about_ca_system_score_gemma":0.0005331186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523051,"about_ca_topic_score_gemma":0.008780595,"domain_scores_codex":[0.9996804,0.00006733127,0.00004447538,0.0000884044,0.00008195837,0.00003745863],"domain_scores_gemma":[0.9993504,0.0001404895,0.00006188269,0.0001347927,0.0002371636,0.00007538032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00267681,0.001552652,0.08121336,0.001618273,0.0004187434,0.002037843,0.00140587,0.002636098,0.5801789,0.0007541495,0.01111378,0.3143936],"study_design_scores_gemma":[0.0002290016,0.001022262,0.9035565,0.00005862453,0.0005542914,0.002965815,0.0007778268,0.01346167,0.0667596,0.0002650869,0.01023314,0.0001162597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790598,0.0004753386,0.009309527,0.00005557602,0.00006981067,0.0007410101,0.006352317,0.0003032813,0.003633357],"genre_scores_gemma":[0.9381042,0.0005757944,0.02138665,0.0001861462,0.000147019,0.002333127,0.03167081,0.0001139566,0.005482403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004523051,"threshold_uncertainty_score":0.01330149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998133270","doi":"10.3758/brm.40.4.1075","title":"Body—object interaction ratings for 1,618 monosyllabic nouns","year":2008,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":117,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Northern British Columbia","funders":"","keywords":"Noun; Referent; Set (abstract data type); Generalizability theory; Object (grammar); Word (group theory); Computer science; Psychology; Concreteness; Natural language processing; Artificial intelligence; Cognitive psychology; Mathematics; Linguistics; Developmental psychology","authors":[{"name":"Sherri M. Tillotson","is_ca":true},{"name":"Paul D. Siakaluk","is_ca":true},{"name":"Penny M. Pexman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5842658790059307,"gpt":0.6586748091934802,"spread":0.07440893018754946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575261,0.0003295012,0.0004448299,0.0003765817,0.0003216318,0.0004153603,0.0001690853,0.0004397381,0.006279295],"category_scores_gemma":[0.005043722,0.00016475,0.0002043806,0.0002600632,0.0002983465,0.0004838705,0.0004593619,0.0002778264,0.001284275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194613,"about_ca_system_score_gemma":0.000155174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156743,"about_ca_topic_score_gemma":0.005577362,"domain_scores_codex":[0.9994803,0.0001224249,0.00006485519,0.0001200791,0.000164015,0.00004828595],"domain_scores_gemma":[0.9964964,0.002071677,0.0005204701,0.0001718564,0.0004550521,0.0002845828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01378475,0.001409222,0.6333958,0.000467458,0.000209366,0.001095479,0.01193856,0.0003378157,0.2658155,0.0004392541,0.001933353,0.06917343],"study_design_scores_gemma":[0.00006060689,0.001008011,0.9918401,0.000008676756,0.00003877453,0.0002895828,0.001000556,0.0003517616,0.004410097,0.00006101354,0.0009141071,0.00001675097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960213,0.00004368554,0.0002347894,0.00000898989,0.00001397911,0.00003719454,0.0003304979,0.00002000449,0.003289509],"genre_scores_gemma":[0.9915375,0.0001113183,0.0009754628,0.00004129135,0.00001575277,0.0001113906,0.0008538734,0.00005063881,0.006302841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006279295,"threshold_uncertainty_score":0.02100635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903145455","doi":"10.3758/s13428-018-1171-z","title":"Quantifying sensorimotor experience: Body–object interaction ratings for more than 9,000 English words","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":116,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lexical decision task; Lexicon; Task (project management); Cognitive psychology; Psychology; Computer science; Referent; Semantics (computer science); Object (grammar); Age of Acquisition; Cognition; Natural language processing; Artificial intelligence; Linguistics","authors":[{"name":"Penny M. Pexman","is_ca":true},{"name":"Emiko J. Muraki","is_ca":true},{"name":"David M. Sidhu","is_ca":true},{"name":"Paul D. Siakaluk","is_ca":true},{"name":"Melvin J. Yap","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4921422929899069,"gpt":0.6493498938476473,"spread":0.1572076008577404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006865286,0.0002713157,0.0002808416,0.000723778,0.0002921375,0.0005439034,0.0002032728,0.0003961384,0.009503619],"category_scores_gemma":[0.005257003,0.00009453127,0.0002161344,0.0005566587,0.0002222627,0.0007937647,0.0005778028,0.0002212005,0.002168839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032088,"about_ca_system_score_gemma":0.0001138344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009675859,"about_ca_topic_score_gemma":0.002515879,"domain_scores_codex":[0.9995017,0.00009367588,0.00009502229,0.0001034713,0.0001723091,0.00003379966],"domain_scores_gemma":[0.9970963,0.001535107,0.0005191144,0.0001733382,0.0005386473,0.0001375128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003924305,0.0005358445,0.4307705,0.00183743,0.0004281057,0.001279976,0.01051099,0.001186353,0.1778919,0.0009914048,0.01207381,0.3585694],"study_design_scores_gemma":[0.00002159753,0.0005102169,0.9787742,0.00005161123,0.0000802776,0.0006733899,0.001907289,0.0009588191,0.006714815,0.0002038742,0.01006933,0.00003465308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857116,0.0004583396,0.003416364,0.00006766857,0.00006345383,0.00008257083,0.00279994,0.0001312002,0.007268843],"genre_scores_gemma":[0.9775617,0.0004531673,0.005867428,0.0001162508,0.00005868521,0.0002061205,0.002181757,0.000143163,0.01341166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009503619,"threshold_uncertainty_score":0.03179282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809193001","doi":"10.3758/s13428-018-1056-1","title":"The Massive Auditory Lexical Decision (MALD) database","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":115,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts; University of Alberta","keywords":"Lexical decision task; Computer science; Lexical database; Lexical access; Natural language processing; Set (abstract data type); Stimulus (psychology); Speech recognition; Artificial intelligence; Database; Psychology; Cognition; Cognitive psychology","authors":[{"name":"Benjamin V. Tucker","is_ca":true},{"name":"Daniel Brenner","is_ca":true},{"name":"Denise Danielson","is_ca":true},{"name":"Matthew C. Kelley","is_ca":true},{"name":"Filip Nenadić","is_ca":true},{"name":"Michelle Sims","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3306016750896725,"gpt":0.644614645825324,"spread":0.3140129707356515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007960386,0.0009088676,0.0008306974,0.00246475,0.0004244027,0.001611266,0.001535243,0.0009837755,0.03770385],"category_scores_gemma":[0.009585023,0.0004387836,0.0005247461,0.001896431,0.0003128603,0.001525098,0.002539037,0.0007789551,0.02640655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002976558,"about_ca_system_score_gemma":0.001183564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002755221,"about_ca_topic_score_gemma":0.003826733,"domain_scores_codex":[0.9990692,0.0001672714,0.0001872192,0.0002472121,0.00025618,0.00007296063],"domain_scores_gemma":[0.9958144,0.001537999,0.0002855313,0.001501934,0.0005239533,0.0003361862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006117133,0.001133244,0.02890673,0.002369341,0.0003232623,0.001068929,0.0005556855,0.004066481,0.0180579,0.008191705,0.4213942,0.5078155],"study_design_scores_gemma":[0.00203638,0.001166885,0.09397151,0.0006110214,0.0005032787,0.002930996,0.0008449007,0.0391185,0.03798006,0.03661374,0.7838742,0.0003484155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08666587,0.001781354,0.03265925,0.0004046365,0.0002642782,0.0007093388,0.8384776,0.01837487,0.02066277],"genre_scores_gemma":[0.1477722,0.0006928797,0.03664271,0.0002615975,0.0001221082,0.00171645,0.8034151,0.001407533,0.007969461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03770385,"threshold_uncertainty_score":0.1261319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2288693139","doi":"10.3758/s13428-016-0720-6","title":"The Calgary semantic decision project: concrete/abstract decision data for 10,000 English words","year":2016,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concreteness; Lexical decision task; Computer science; Lexicon; Natural language processing; Semantics (computer science); Semantic memory; Artificial intelligence; Variance (accounting); Word (group theory); Task (project management); Semantic property; Linguistics; Psychology; Cognitive psychology; Cognition","authors":[{"name":"Penny M. Pexman","is_ca":true},{"name":"Alison Heard","is_ca":true},{"name":"Ellen Lloyd","is_ca":true},{"name":"Melvin J. Yap","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4123654394581135,"gpt":0.5860038097873501,"spread":0.1736383703292366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002060117,0.0005606498,0.0005020511,0.00148704,0.0007124522,0.001129617,0.001001303,0.001053224,0.008131998],"category_scores_gemma":[0.01205936,0.0003379055,0.0003917832,0.001324503,0.0009877551,0.001276703,0.002014885,0.001414881,0.004192219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709548,"about_ca_system_score_gemma":0.001592293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03831092,"about_ca_topic_score_gemma":0.05766708,"domain_scores_codex":[0.9987397,0.0003297904,0.0001262786,0.000233763,0.0004429799,0.0001274329],"domain_scores_gemma":[0.9910086,0.003285969,0.0006291773,0.002141894,0.001991844,0.0009425778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01824418,0.0046966,0.2928551,0.0006700203,0.0006293913,0.001806299,0.006285411,0.00615792,0.1112319,0.006191524,0.1282739,0.4229576],"study_design_scores_gemma":[0.0007998848,0.0007356165,0.8996921,0.0001040864,0.0001534927,0.0006295501,0.002985767,0.008316284,0.02589744,0.006738041,0.05374767,0.0002000828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334006,0.0002069791,0.004685785,0.0002345584,0.00008533761,0.0003099314,0.04996383,0.0004897324,0.01062317],"genre_scores_gemma":[0.8908808,0.0001303845,0.01792023,0.0001753525,0.00005113268,0.0008962292,0.07756211,0.0009669288,0.01141682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03831092,"threshold_uncertainty_score":0.07617587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030751416","doi":"10.3758/brm.41.2.546","title":"Subjective frequency and imageability ratings for 3,600 French nouns","year":2009,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":98,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Noun; Reliability (semiconductor); Psychology; Audiology; Consistency (knowledge bases); Rating scale; Cognitive psychology; Computer science; Statistics; Natural language processing; Artificial intelligence; Developmental psychology; Mathematics; Medicine","authors":[{"name":"Alain Desrochers","is_ca":true},{"name":"Glenn L. Thompson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2242416127247494,"gpt":0.6053365934815501,"spread":0.3810949807568007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007483313,0.0002868423,0.0002170625,0.0009089347,0.0003005874,0.0006819457,0.0001157273,0.000474146,0.004652371],"category_scores_gemma":[0.006058346,0.00008828961,0.0002350282,0.0003342451,0.0002360982,0.0005187196,0.0002229168,0.0002162874,0.0006697295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693037,"about_ca_system_score_gemma":0.00009485807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263408,"about_ca_topic_score_gemma":0.00703573,"domain_scores_codex":[0.9995983,0.000131045,0.0000414219,0.00008393388,0.000111503,0.00003367281],"domain_scores_gemma":[0.9950722,0.00240529,0.00085465,0.0002112964,0.001032511,0.0004240612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004268935,0.0005507584,0.8492169,0.0003180091,0.0002290446,0.0005566926,0.01256293,0.0002416823,0.06510083,0.0003772916,0.001434875,0.06514204],"study_design_scores_gemma":[0.0000108588,0.0005222662,0.9958696,0.00001042014,0.00002145443,0.0003007927,0.001114567,0.0001098771,0.001065978,0.00002717134,0.0009354248,0.00001168732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965696,0.0001731784,0.0001930919,0.00001488663,0.0000094196,0.00001322706,0.0002350558,0.0000125057,0.002778924],"genre_scores_gemma":[0.9946001,0.0001945483,0.0005856318,0.00004224458,0.00002663682,0.00002327436,0.0005397748,0.00001681989,0.003971052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004652371,"threshold_uncertainty_score":0.01556379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W927394476","doi":"10.3758/s13428-015-0627-7","title":"The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":95,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Community Safety and Correctional Services; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Statistics; Mathematics; Correlation; Pearson product-moment correlation coefficient; Base (topology); Sample size determination; Statistic; Polychoric correlation; Econometrics; Mathematical analysis","authors":[{"name":"Kelly M. Babchishin","is_ca":true},{"name":"L. Maaike Helmus","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8490125083874293,"gpt":0.6913935802776402,"spread":0.1576189281097891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3921784,0.002883588,0.002623301,0.003358667,0.002141991,0.004369305,0.006016477,0.004625771,0.003384025],"category_scores_gemma":[0.7515996,0.001186421,0.006082124,0.003277523,0.009734583,0.007974709,0.003635132,0.004285411,0.0005402932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620226,"about_ca_system_score_gemma":0.001459892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749147,"about_ca_topic_score_gemma":0.002020345,"domain_scores_codex":[0.5009733,0.4439821,0.01495165,0.01721571,0.02158023,0.001297011],"domain_scores_gemma":[0.02876417,0.9496429,0.004199815,0.01301457,0.004014461,0.0003640606],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03846532,0.002351749,0.392412,0.004803977,0.0287086,0.001882723,0.0085851,0.050696,0.01438393,0.06852322,0.006638478,0.3825489],"study_design_scores_gemma":[0.007972783,0.03341402,0.3641074,0.002858101,0.03291376,0.004462707,0.002627015,0.4230977,0.03122304,0.08183305,0.0138564,0.001634156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4849517,0.006764085,0.4887429,0.002571437,0.001184976,0.002516312,0.001082254,0.001494382,0.01069191],"genre_scores_gemma":[0.8824241,0.0004972008,0.1145648,0.0004377851,0.0001941878,0.001015531,0.0002673872,0.0002921291,0.0003069027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6078216,"threshold_uncertainty_score":0.7495522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1842016767","doi":"10.3758/s13428-015-0636-6","title":"Ratings of age of acquisition of 299 words across 25 languages: Is there a cross-linguistic order of words?","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Age of Acquisition; Linguistics; Natural language processing; Computer science; Word order; Psychology; Order (exchange); Artificial intelligence; Cognition; Philosophy","authors":[{"name":"Magdalena Łuniewska","is_ca":false},{"name":"Ewa Haman","is_ca":false},{"name":"Sharon Armon-Lotem","is_ca":false},{"name":"Bartłomiej Etenkowski","is_ca":false},{"name":"Frenette Southwood","is_ca":false},{"name":"Darinka Anđelković","is_ca":false},{"name":"Elma Blom","is_ca":false},{"name":"Tessel Boerma","is_ca":false},{"name":"Shula Chiat","is_ca":false},{"name":"Pascale Engel de Abreu","is_ca":false},{"name":"Natalia Gagarina","is_ca":false},{"name":"Anna Gavarró","is_ca":false},{"name":"Gisela Håkansson","is_ca":false},{"name":"Tina Hickey","is_ca":false},{"name":"Kristine M. Jensen de López","is_ca":false},{"name":"Theodoros Marinis","is_ca":false},{"name":"Maša Popović","is_ca":false},{"name":"Elin Thordardottir","is_ca":true},{"name":"Agnė Blažienė","is_ca":false},{"name":"Myriam Cantú Sánchez","is_ca":false},{"name":"Ineta Dabašinskienė","is_ca":false},{"name":"Pınar Ege","is_ca":false},{"name":"Inger-Anne Ehret","is_ca":false},{"name":"Nelly-Ann Fritsche","is_ca":false},{"name":"Daniela Gatt","is_ca":false},{"name":"Bibi Janssen","is_ca":false},{"name":"Maria Kambanaros","is_ca":false},{"name":"Svetlana Kapalková","is_ca":false},{"name":"Bjarke Sund Kronqvist","is_ca":false},{"name":"Sari Kunnari","is_ca":false},{"name":"Chiara Levorato","is_ca":false},{"name":"Olga Nenonen","is_ca":false},{"name":"Siobhán Nic Fhlannchadha","is_ca":false},{"name":"Ciara O’Toole","is_ca":false},{"name":"Kamila Polišenská","is_ca":false},{"name":"Barbara Pomiechowska","is_ca":false},{"name":"Natalia Ringblom","is_ca":false},{"name":"Tanja Rinker","is_ca":false},{"name":"Maja Roch","is_ca":false},{"name":"Maja Savić","is_ca":false},{"name":"Daniela Slančová","is_ca":false},{"name":"Ianthi Maria Tsimpli","is_ca":false},{"name":"Özlem Ünal–Logacev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3035427565150631,"gpt":0.597421963177566,"spread":0.2938792066625029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001968344,0.000269418,0.0003482875,0.0008734001,0.0002399183,0.0007278406,0.0002867723,0.0007202396,0.00275656],"category_scores_gemma":[0.01677413,0.0002589246,0.0004670326,0.0003019555,0.000367731,0.000896237,0.0005010443,0.0006816841,0.001321737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631711,"about_ca_system_score_gemma":0.000237235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020465,"about_ca_topic_score_gemma":0.006126424,"domain_scores_codex":[0.99893,0.000202571,0.0001904115,0.0001465436,0.0004354666,0.00009492774],"domain_scores_gemma":[0.9790147,0.006718338,0.007212622,0.001186742,0.003801469,0.002066094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009827248,0.0001998096,0.9784509,0.00004538093,0.0001097759,0.0001305977,0.001150389,0.0001509153,0.009734675,0.00006171588,0.0002911608,0.008692],"study_design_scores_gemma":[0.000009040359,0.000440015,0.9973189,0.000007997583,0.00001500411,0.0001821141,0.0004569691,0.0001703796,0.001090542,0.00004003042,0.0002582977,0.00001057325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976864,0.00009881235,0.0002090856,0.00002296561,0.00001530063,0.00001685211,0.0001918785,0.000008669962,0.00175003],"genre_scores_gemma":[0.9982148,0.0001011542,0.0004027348,0.00003278175,0.000009488534,0.00001850945,0.0003658093,0.000007594947,0.000846992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003020465,"threshold_uncertainty_score":0.01040971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767253414","doi":"10.3758/s13428-017-0981-8","title":"MorphoLex: A derivational morphological database for 70,000 English words","year":2017,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":92,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Suffix; Computer science; Natural language processing; Lexicon; Word (group theory); Root (linguistics); Artificial intelligence; Lexical decision task; Noun; Linguistics; Cognition; Psychology","authors":[{"name":"Claudia Sánchez‐Gutiérrez","is_ca":false},{"name":"Hugo Mailhot","is_ca":true},{"name":"S. Hélène Deacon","is_ca":true},{"name":"Maximiliano A. Wilson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4441928567752986,"gpt":0.6216715043181028,"spread":0.1774786475428042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005345494,0.001396283,0.0006942178,0.006452797,0.0007383694,0.001556754,0.0009707836,0.0008658857,0.04525406],"category_scores_gemma":[0.003561959,0.0007038185,0.0007012055,0.003837309,0.0003931475,0.002772944,0.002003624,0.0006548919,0.03193114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870396,"about_ca_system_score_gemma":0.001361194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111061,"about_ca_topic_score_gemma":0.003297992,"domain_scores_codex":[0.9994455,0.00006010553,0.0001705404,0.0001630832,0.0001236039,0.00003729145],"domain_scores_gemma":[0.9983371,0.0006928494,0.0001848805,0.0002860522,0.0004078219,0.00009122771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002457021,0.0004790391,0.02894622,0.006613808,0.0003223265,0.004352281,0.003986163,0.001720781,0.07219281,0.01259081,0.3512739,0.5150648],"study_design_scores_gemma":[0.0004207466,0.0002743096,0.08703592,0.000720069,0.0004026575,0.006518705,0.002009093,0.006047578,0.03051437,0.008944221,0.856871,0.0002412555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1175276,0.001852493,0.02754012,0.0002584663,0.0001577475,0.0004262002,0.8038266,0.0211667,0.02724402],"genre_scores_gemma":[0.1135044,0.001043666,0.05133908,0.0001456003,0.00005689753,0.0007105796,0.8212679,0.004663669,0.007268255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04525406,"threshold_uncertainty_score":0.1513899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382502700","doi":"10.3758/s13428-023-02124-2","title":"The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment","year":2023,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Cambridge Trust; Deutscher Akademischer Austauschdienst; University of Virginia","keywords":"Mist; Misinformation; Psychology; Psychological intervention; Test (biology); Computer science; Social psychology; Computer security","authors":[{"name":"Rakoen Maertens","is_ca":false},{"name":"Friedrich M. Götz","is_ca":true},{"name":"Hudson Golino","is_ca":false},{"name":"Jon Roozenbeek","is_ca":false},{"name":"Claudia R. Schneider","is_ca":false},{"name":"Yara Kyrychenko","is_ca":false},{"name":"John R. Kerr","is_ca":false},{"name":"Stefan Stieger","is_ca":false},{"name":"William P. McClanahan","is_ca":false},{"name":"Karly Drabot","is_ca":false},{"name":"James Kunling He","is_ca":false},{"name":"Sander van der Linden","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4256537945364519,"gpt":0.6244316175167799,"spread":0.198777822980328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004669961,0.000334845,0.0003933556,0.002980554,0.0004107319,0.001258136,0.0007536882,0.0007585533,0.004296676],"category_scores_gemma":[0.04501539,0.0002198339,0.00069583,0.001621746,0.0006336228,0.001939137,0.001285251,0.001024041,0.0006716061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005173903,"about_ca_system_score_gemma":0.0004909821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000966735,"about_ca_topic_score_gemma":0.002089102,"domain_scores_codex":[0.997058,0.0007870609,0.0006177038,0.0002184097,0.001198949,0.0001199045],"domain_scores_gemma":[0.9405282,0.02878248,0.0192757,0.003366941,0.006201642,0.001845057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005167015,0.0005648464,0.9124998,0.0002302172,0.0001776544,0.0001323704,0.002408312,0.00157627,0.00204985,0.001451715,0.003074124,0.07531821],"study_design_scores_gemma":[0.00004369899,0.00070745,0.9850353,0.00010018,0.00006154348,0.0003619198,0.001435285,0.005369415,0.002232637,0.001949885,0.002637169,0.00006561109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879454,0.0001281907,0.004029005,0.0001564253,0.00003864207,0.0002270546,0.0008607817,0.00006328375,0.006551215],"genre_scores_gemma":[0.991719,0.0001002035,0.006081599,0.00006797451,0.00002701612,0.0002916653,0.0008029924,0.00001493407,0.0008945827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004669961,"threshold_uncertainty_score":0.02469742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2560525638","doi":"10.3758/s13428-016-0830-1","title":"Chronset: An automated tool for detecting speech onset","year":2016,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Multitaper; Computer science; Speech recognition; Measure (data warehouse); Artificial intelligence; Natural language processing; Data mining","authors":[{"name":"Frédéric Roux","is_ca":false},{"name":"Blair C. Armstrong","is_ca":true},{"name":"Manuel Carreiras","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2584792315470756,"gpt":0.5748492312116953,"spread":0.3163699996646197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574746,0.002112932,0.001353887,0.005456818,0.0004846927,0.001089725,0.001826173,0.001287537,0.02208981],"category_scores_gemma":[0.007853742,0.0007389298,0.0008900338,0.001981279,0.0002825398,0.001203574,0.001596993,0.0009259264,0.01237325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004574657,"about_ca_system_score_gemma":0.000950336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844854,"about_ca_topic_score_gemma":0.003524731,"domain_scores_codex":[0.9985853,0.0001663982,0.000163219,0.0004942009,0.0005240886,0.00006675875],"domain_scores_gemma":[0.9955872,0.00199229,0.0006797609,0.0005060293,0.0009931494,0.0002414778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001803668,0.0003601049,0.009954029,0.001861911,0.0003406393,0.0004743141,0.0004589481,0.004234981,0.09615938,0.003407254,0.1660731,0.7148716],"study_design_scores_gemma":[0.0005572612,0.0009405434,0.06673171,0.0003830475,0.000326738,0.003187406,0.0006055015,0.4444288,0.1995637,0.0156793,0.266882,0.0007140652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01923936,0.0006931552,0.7631987,0.0001353826,0.000426463,0.0005890852,0.03622976,0.1746431,0.004845013],"genre_scores_gemma":[0.09293769,0.0004785647,0.836405,0.0002559382,0.0002889147,0.002823013,0.04851402,0.008879529,0.009417244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02208981,"threshold_uncertainty_score":0.07389778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306655083","doi":"10.3758/s13428-022-01988-0","title":"Questions of value, questions of magnitude: An exploration and application of methods for comparing indirect effects in multiple mediator models","year":2022,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Operationalization; Mediation; Computer science; Mechanism (biology); Magnitude (astronomy); Value (mathematics); Psychology; Cognitive psychology; Epistemology; Machine learning; Physics","authors":[{"name":"Jacob J. Coutts","is_ca":false},{"name":"Andrew F. Hayes","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4829182336826193,"gpt":0.6283255401611992,"spread":0.14540730647858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3571735,0.002418471,0.004724735,0.005652633,0.003154418,0.01094246,0.008594984,0.005020862,0.006099013],"category_scores_gemma":[0.7681897,0.002079072,0.004539039,0.006952234,0.02242109,0.02189763,0.009338264,0.01138759,0.0003710699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003954122,"about_ca_system_score_gemma":0.00544703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450573,"about_ca_topic_score_gemma":0.002336388,"domain_scores_codex":[0.5345141,0.4366938,0.006136953,0.008671175,0.01321897,0.0007651099],"domain_scores_gemma":[0.0736626,0.8839579,0.01010117,0.02661301,0.005059092,0.0006061558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006455391,0.000378113,0.01218433,0.001712092,0.002572994,0.0001478146,0.005818829,0.006906825,0.0008413501,0.8544273,0.001390149,0.1129748],"study_design_scores_gemma":[0.0001760968,0.0002688617,0.003189634,0.0005753298,0.0004286449,0.0001656651,0.001046346,0.02633074,0.0007813694,0.9635793,0.00333769,0.0001202781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0148902,0.003069396,0.9736053,0.00397622,0.0002511769,0.000597539,0.0001685028,0.0001221035,0.003319415],"genre_scores_gemma":[0.335156,0.001821292,0.6558126,0.001111853,0.0005112049,0.004169497,0.000129784,0.0002978962,0.000989906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3571735,"threshold_uncertainty_score":0.7927195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006342589","doi":"10.3758/brm.40.1.263","title":"Rebus puzzles as insight problems","year":2008,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Psychology","authors":[{"name":"James N. MacGregor","is_ca":true},{"name":"John Cunningham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4743901324418159,"gpt":0.5834460447021849,"spread":0.1090559122603689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003039296,0.001117557,0.0008327378,0.002189288,0.00105594,0.003631243,0.001244108,0.002231631,0.02783491],"category_scores_gemma":[0.0325336,0.0006480205,0.0007388485,0.001476097,0.004518786,0.008060252,0.003204513,0.003614746,0.001070129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008530583,"about_ca_system_score_gemma":0.0007050282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007113836,"about_ca_topic_score_gemma":0.0008380865,"domain_scores_codex":[0.9973769,0.001445439,0.0001160777,0.0004919998,0.000436577,0.0001330228],"domain_scores_gemma":[0.9837431,0.01188786,0.001616455,0.001699939,0.0007007724,0.0003517276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002181058,0.0001200616,0.003196751,0.0002023855,0.00003798651,0.0002855827,0.004526748,0.003479542,0.0006819302,0.9329637,0.005768711,0.04851845],"study_design_scores_gemma":[0.00005820601,0.00006072861,0.002256521,0.0001039975,0.00003293483,0.0003508742,0.002544404,0.0188191,0.0003532125,0.966305,0.009092701,0.00002223326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2875527,0.003741977,0.4339635,0.01876096,0.0008025902,0.0005181576,0.0008883246,0.0008645869,0.2529071],"genre_scores_gemma":[0.8907619,0.000941071,0.08085148,0.0008094498,0.0001444304,0.0004028307,0.000355919,0.0001695616,0.02556326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02783491,"threshold_uncertainty_score":0.09311712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087093006","doi":"10.3758/s13428-011-0117-5","title":"Imageability and body–object interaction ratings for 599 multisyllabic nouns","year":2011,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noun; Object (grammar); Computer science; Psychology; Cognitive psychology; Linguistics; Natural language processing; Artificial intelligence; Philosophy","authors":[{"name":"Stephen D. R. Bennett","is_ca":true},{"name":"A. Nicole Burnett","is_ca":true},{"name":"Paul D. Siakaluk","is_ca":true},{"name":"Penny M. Pexman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3464476339350444,"gpt":0.5887497293982573,"spread":0.242302095463213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005480212,0.0002970165,0.0003392272,0.0004909973,0.0003183056,0.0008888041,0.0002186849,0.0005815277,0.0145014],"category_scores_gemma":[0.006164442,0.0001985343,0.0002699085,0.0002902638,0.0004682785,0.0009585768,0.0006433621,0.0004683176,0.001442034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842447,"about_ca_system_score_gemma":0.0001619553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075915,"about_ca_topic_score_gemma":0.004856348,"domain_scores_codex":[0.9996135,0.00005344577,0.0000490475,0.00008515301,0.0001458279,0.00005306998],"domain_scores_gemma":[0.9965621,0.001790614,0.0007074163,0.0001896072,0.0003871419,0.0003631576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01682118,0.002274275,0.434038,0.0005348074,0.0002583416,0.001746801,0.02660461,0.0004539233,0.4535195,0.002079223,0.001867395,0.05980213],"study_design_scores_gemma":[0.00009110308,0.001193223,0.9854982,0.00001626049,0.00004739745,0.0004754923,0.003442233,0.000643662,0.006944777,0.000302016,0.00131314,0.00003246433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966199,0.00002847524,0.0001619282,0.00001258741,0.000009939672,0.00001816933,0.000138507,0.000008703866,0.003001601],"genre_scores_gemma":[0.9924233,0.00007245297,0.0006417393,0.0000423351,0.00001071837,0.00005590494,0.0004454001,0.00003872954,0.006269356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145014,"threshold_uncertainty_score":0.04851198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148999650","doi":"10.3758/s13428-015-0667-z","title":"Effect size measures in a two-independent-samples case with nonnormal and nonhomogeneous data","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Statistics; Computer science; Mathematics","authors":[{"name":"Johnson Ching‐Hong Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9138052411701298,"gpt":0.754588885036263,"spread":0.1592163561338669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3183872,0.003189197,0.008255213,0.005028206,0.001608319,0.004236157,0.009299617,0.01046967,0.01061076],"category_scores_gemma":[0.58841,0.00224771,0.006073871,0.00392921,0.01595035,0.01118702,0.004666172,0.007732723,0.0009995974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654207,"about_ca_system_score_gemma":0.002826592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801185,"about_ca_topic_score_gemma":0.001324053,"domain_scores_codex":[0.6232969,0.3130037,0.01551916,0.0278455,0.01722297,0.003111784],"domain_scores_gemma":[0.1762814,0.7688221,0.01578886,0.03429832,0.003300399,0.001508817],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01849961,0.003927406,0.0702369,0.006827809,0.01104553,0.008077673,0.00632377,0.05643068,0.003915569,0.5326912,0.01075131,0.2712725],"study_design_scores_gemma":[0.003222388,0.005278976,0.03148673,0.0007845681,0.00350428,0.004065603,0.001240259,0.3545682,0.002789337,0.5861669,0.006524381,0.0003684056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09298247,0.002651776,0.8912125,0.004572844,0.0008297262,0.002396592,0.001457485,0.0005246114,0.003371977],"genre_scores_gemma":[0.5397519,0.0006328693,0.4485369,0.001215335,0.0005838294,0.005633708,0.0006260907,0.0001805951,0.002838767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6816128,"threshold_uncertainty_score":0.8405499,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W3005165546","doi":"10.3758/s13428-020-01365-9","title":"Longform recordings of everyday life: Ethics for best practices","year":2020,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":78,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hospital for Sick Children; University of Manitoba","funders":"National Institute of Mental Health; Social Sciences and Humanities Research Council of Canada; Universität Zürich; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Stanford Maternal and Child Health Research Institute; Agence Nationale de la Recherche; James S. McDonnell Foundation","keywords":"Autonomy; Beneficence; Set (abstract data type); Fidelity; Research ethics; Computer science; Everyday life; Data sharing; Informed consent; Economic Justice; Internet privacy; Data science; Psychology; Medicine","authors":[{"name":"Margaret Cychosz","is_ca":false},{"name":"Rachel Romeo","is_ca":false},{"name":"Mélanie Söderström","is_ca":true},{"name":"Camila Scaff","is_ca":false},{"name":"Hillary Ganek","is_ca":true},{"name":"Alejandrina Cristià","is_ca":false},{"name":"Marisa Casillas","is_ca":false},{"name":"Kaya de Barbaro","is_ca":false},{"name":"Janet Y. Bang","is_ca":false},{"name":"Adriana Weisleder","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8409786516589324,"gpt":0.7069141870663498,"spread":0.1340644645925826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.146738,0.001072935,0.001378924,0.001954673,0.0053514,0.007377821,0.003818787,0.01036482,0.008304819],"category_scores_gemma":[0.2538957,0.00122408,0.0009615477,0.00172853,0.0209489,0.005615633,0.005679331,0.01336627,0.007681938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209857,"about_ca_system_score_gemma":0.007222397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400809,"about_ca_topic_score_gemma":0.005775836,"domain_scores_codex":[0.8375578,0.1260353,0.009947548,0.004489942,0.02042902,0.001540426],"domain_scores_gemma":[0.6577632,0.1547463,0.009097488,0.123382,0.04949132,0.005519768],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002020297,0.0006637676,0.00732713,0.002477979,0.0001957179,0.001365001,0.03735262,0.001523253,0.01674099,0.3064219,0.1864976,0.4374137],"study_design_scores_gemma":[0.0003288462,0.0007108561,0.01289112,0.008850593,0.0001534036,0.004354736,0.01776841,0.003860006,0.0155153,0.2929484,0.6423278,0.0002906835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01941159,0.01228805,0.7252355,0.1189018,0.008387522,0.006164092,0.001085393,0.001030899,0.1074952],"genre_scores_gemma":[0.2456886,0.009461818,0.6084207,0.03840054,0.006745626,0.02658844,0.0009523309,0.001266471,0.06247552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9896352,"threshold_uncertainty_score":0.776034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2895796529","doi":"10.3758/s13428-018-1147-z","title":"The reliability of attentional biases for emotional images measured using a free-viewing eye-tracking paradigm","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Attentional bias; Psychology; Cognitive psychology; Fixation (population genetics); Eye tracking; Anxiety; Reliability (semiconductor); Eye movement; Audiology; Cognition; Artificial intelligence; Computer science; Neuroscience","authors":[{"name":"Christopher R. Sears","is_ca":true},{"name":"Leanne Quigley","is_ca":true},{"name":"Amanda Fernandez","is_ca":true},{"name":"Kristin Newman","is_ca":true},{"name":"Keith S. Dobson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5472372277828504,"gpt":0.6384359538892672,"spread":0.09119872610641677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004956722,0.0004338668,0.000347922,0.0006053518,0.0002836791,0.0005526988,0.0003856203,0.0006563443,0.00106648],"category_scores_gemma":[0.0347187,0.0002818179,0.0003230885,0.0002785027,0.0004831577,0.000661728,0.0004492486,0.0008004549,0.000299459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276011,"about_ca_system_score_gemma":0.000245413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130934,"about_ca_topic_score_gemma":0.001590397,"domain_scores_codex":[0.9970478,0.0008958073,0.0002863317,0.0005597061,0.001080943,0.0001294782],"domain_scores_gemma":[0.9711325,0.01939524,0.003115096,0.002426517,0.003549479,0.0003812403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01236405,0.001735682,0.6743933,0.0003887838,0.001451732,0.0001235324,0.003497458,0.001026145,0.1994143,0.000646792,0.0008915087,0.1040667],"study_design_scores_gemma":[0.0001148565,0.00126654,0.9873713,0.00002832456,0.0001703031,0.0002680415,0.0001930982,0.001643323,0.008372249,0.0001988353,0.0003484346,0.00002472754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930272,0.0004707589,0.003550654,0.00003921829,0.00008168128,0.0001095121,0.00008716672,0.00002925776,0.002604553],"genre_scores_gemma":[0.9981036,0.0001004802,0.001081698,0.00007966328,0.00003081189,0.00006852228,0.0001167321,0.00001613063,0.0004024241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004956722,"threshold_uncertainty_score":0.02621394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2592069066","doi":"10.3758/s13428-018-1061-4","title":"Miami University deception detection database","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Deception; Psychology; Lie detection; Social psychology; Statement (logic); Computer science; Applied psychology; Linguistics","authors":[{"name":"E. Paige Lloyd","is_ca":false},{"name":"Jason C. Deska","is_ca":true},{"name":"Kurt Hugenberg","is_ca":false},{"name":"Allen R. McConnell","is_ca":false},{"name":"Brandon T. Humphrey","is_ca":false},{"name":"Jonathan W. Kunstman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3876640780767517,"gpt":0.6254059579783624,"spread":0.2377418799016107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000846763,0.0009339294,0.0007542371,0.003920492,0.0005587267,0.0009640543,0.001668029,0.001182885,0.02386346],"category_scores_gemma":[0.007441488,0.0002178799,0.0003207285,0.002170219,0.0001694146,0.001231667,0.001355809,0.000880087,0.01540831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214455,"about_ca_system_score_gemma":0.0008513076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006937232,"about_ca_topic_score_gemma":0.0101727,"domain_scores_codex":[0.9994279,0.00008089723,0.0001316141,0.00009982388,0.0001919217,0.00006786241],"domain_scores_gemma":[0.9976084,0.0005212644,0.0003458826,0.0005556221,0.0007347442,0.0002341065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007761935,0.0003288747,0.009540844,0.002917042,0.00006838359,0.0008917954,0.0003356806,0.0009090467,0.002609204,0.002049195,0.8417916,0.1377821],"study_design_scores_gemma":[0.0003022048,0.0002868201,0.05064496,0.001060097,0.0001210486,0.001909119,0.0006549255,0.01118512,0.006023195,0.003669788,0.9239875,0.0001552425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03356159,0.004794057,0.007921842,0.0007871795,0.0002838766,0.001652504,0.9277194,0.004550327,0.01872928],"genre_scores_gemma":[0.04409667,0.001607282,0.01080948,0.0003436127,0.0001030931,0.001972614,0.935697,0.000179066,0.005191125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02386346,"threshold_uncertainty_score":0.07983124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}