{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.006371326,0.0001759311,0.0002094033,0.0004637139,0.0005668019,0.0002974372,0.001807206,0.006218295,0.000365059],"category_scores_gemma":[0.001169327,0.0001675507,0.00009075853,0.001639413,0.001766757,0.0005251003,0.0002351138,0.02773868,0.000707796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000477843,"about_ca_system_score_gemma":0.001673406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674917,"about_ca_topic_score_gemma":0.0003742274,"domain_scores_codex":[0.9962595,0.0002065988,0.0003146676,0.0006806439,0.001580561,0.0009580877],"domain_scores_gemma":[0.9992865,0.0002333009,0.0001073381,0.0001994854,0.00008238315,0.00009097538],"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":[5.412862e-7,0.000005339763,0.001215254,0.00003318624,0.000001674725,0.0002326878,0.007792971,3.517962e-7,0.0000853439,0.002277537,0.983252,0.005103112],"study_design_scores_gemma":[0.00002070488,0.000005743087,0.0006383993,0.0002174834,0.00001662473,0.000004098941,0.0004590693,0.00001533247,0.00005032512,0.004703589,0.9936485,0.0002201662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006811464,0.0008082408,0.000009933173,0.9012076,0.003594077,0.0004305606,0.00002069557,0.0001340573,0.08698343],"genre_scores_gemma":[0.01871494,0.0004016477,0.0005688175,0.8642348,0.01060402,0.0001188767,0.00001882847,0.00004066812,0.1052974],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03697275,"threshold_uncertainty_score":0.9950718,"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."}}