{"id":"W3125726066","doi":"10.1093/jleo/ewp031","title":"The economics of scientific misconduct","year":2011,"lang":"en","type":"article","venue":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Misconduct; Library science; Schools of economic thought; Political science; Sociology; Law; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02123096,0.0003415566,0.0007982916,0.005717714,0.004055091,0.01215249,0.001534949,0.007382841,0.02587099],"category_scores_gemma":[0.1425177,0.000391823,0.0005287381,0.005303942,0.0123506,0.01052052,0.003877234,0.003956452,0.003379168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007854261,"about_ca_system_score_gemma":0.00734567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003201324,"about_ca_topic_score_gemma":0.002261319,"domain_scores_codex":[0.9742385,0.01198874,0.0009137174,0.001606556,0.009660724,0.001591904],"domain_scores_gemma":[0.8393394,0.1026706,0.01458332,0.0112384,0.02637749,0.00579088],"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":[0.00004989818,0.00004181134,0.003162806,0.0001245704,0.00005181058,0.0002019967,0.0005742913,0.001382469,0.00007053608,0.9080053,0.05423467,0.03209979],"study_design_scores_gemma":[0.00003020187,0.00003790798,0.003022204,0.0004289819,0.00003221221,0.0003269504,0.0008240617,0.001861975,0.0001419246,0.8757707,0.117483,0.00003972514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03747532,0.0226392,0.01430258,0.2755551,0.002681159,0.0001169883,0.0006996692,0.0001258869,0.6464041],"genre_scores_gemma":[0.8993053,0.01738882,0.00238917,0.017706,0.00476386,0.0001971586,0.0002214166,0.0001316419,0.05789652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9926171,"threshold_uncertainty_score":0.1122814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566970825645885,"score_gpt":0.2006825526998319,"score_spread":0.145012844443373,"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."}}