{"id":"W4400313990","doi":"10.1126/science.adr0734","title":"Preventing bad behavior in academia","year":2024,"lang":"en","type":"letter","venue":"Science","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université de Montréal","funders":"","keywords":"Scientific misconduct; Misconduct; Psychology; Criminology; Political science; Engineering ethics; Law; Medicine; Engineering; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01160712,0.0006161471,0.0008820431,0.001040569,0.01489585,0.00758119,0.002112787,0.09483934,0.0105727],"category_scores_gemma":[0.04954766,0.000880623,0.001265191,0.0007667741,0.005217138,0.005483355,0.003919112,0.04644622,0.007864024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006878515,"about_ca_system_score_gemma":0.02555877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550509,"about_ca_topic_score_gemma":0.04782876,"domain_scores_codex":[0.9902593,0.003159104,0.0008689952,0.0008214263,0.002786127,0.00210508],"domain_scores_gemma":[0.9618124,0.01347178,0.001955882,0.001228627,0.007685227,0.01384608],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003927584,0.00009839739,0.001934881,0.00004357693,0.00001350365,0.001337197,0.0006212172,0.00007401693,0.0004145232,0.003578797,0.9817779,0.01006666],"study_design_scores_gemma":[0.0001341735,0.0001608372,0.003259492,0.0003137681,0.0000258061,0.00115893,0.00253323,0.0005203756,0.0006099288,0.0104051,0.9807808,0.00009757817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007762837,0.0003927741,0.0001126406,0.9892095,0.004572269,0.00001480987,0.00001943985,0.0000364673,0.004865935],"genre_scores_gemma":[0.003991856,0.0002372254,0.0001907198,0.9814999,0.003325167,0.00003329428,0.00001040628,0.00001882006,0.01069252],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9883929,"threshold_uncertainty_score":0.0613851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364894309885205,"score_gpt":0.3599365938132523,"score_spread":0.3262876507144003,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}