{"id":"W2921374237","doi":"10.1161/circoutcomes.119.005484","title":"Policing or Learning?","year":2019,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Analytics; Sociology; Quality (philosophy); Library science; Artificial intelligence; Medicine; Computer science; Philosophy; Epistemology; Data science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001855401,0.0004270401,0.001891798,0.0003973767,0.000212729,0.0001151107,0.0001263428,0.001112046,0.0002510247],"category_scores_gemma":[0.001230603,0.0003369671,0.001995112,0.0003105648,0.0001519421,0.0001302972,0.0001267774,0.002488567,0.0003412189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419359,"about_ca_system_score_gemma":0.000265517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007882995,"about_ca_topic_score_gemma":0.000001390892,"domain_scores_codex":[0.9954672,0.0009442211,0.0006625813,0.0007693084,0.001642245,0.0005143768],"domain_scores_gemma":[0.9975287,0.0006773438,0.0001867301,0.001150479,0.0003345895,0.0001220979],"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":[0.0001402671,0.00003265063,0.2717226,0.003468259,0.01959926,0.0006426062,0.0004106984,0.0007855865,0.00004137646,0.0001210075,0.6893164,0.01371926],"study_design_scores_gemma":[0.001182415,0.00003743179,0.2494995,0.00007225898,0.0008245305,0.0002034634,0.00004645809,0.00008034262,0.000006065894,0.00002514698,0.747691,0.0003313763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01053089,0.002173757,0.002699867,0.9752018,0.0009338598,0.002022408,0.00004645885,0.0003854157,0.006005493],"genre_scores_gemma":[0.02134502,0.0005473596,0.000172012,0.9584824,0.003705976,0.00005477301,0.0008203281,0.0001425558,0.0147296],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05837465,"threshold_uncertainty_score":0.9999082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005146071582472,"score_gpt":0.3741817747134747,"score_spread":0.2736671675552275,"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."}}