{"id":"W2907429224","doi":"10.1002/cam4.1925","title":"Do doctors who order more routine medical tests diagnose more cancers? A population‐based study from Ontario Canada","year":2019,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University; Ontario Ministry of Health and Long-Term Care; Ministry of Health; Cancer Care Ontario","keywords":"Medicine; Overdiagnosis; Population; Retrospective cohort study; Cancer registry; Cancer; Internal medicine; Pediatrics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007455237,0.0003324141,0.000419401,0.0009527853,0.002149833,0.001116966,0.001102338,0.0006078508,0.001880909],"category_scores_gemma":[0.002626952,0.0005975501,0.0006618488,0.003944206,0.0009062354,0.0004430013,0.0006280036,0.0006135631,0.0002048076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01896917,"about_ca_system_score_gemma":0.01893144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851089,"about_ca_topic_score_gemma":0.9893992,"domain_scores_codex":[0.998525,0.0001231094,0.00009910112,0.0002698988,0.0005760516,0.00040685],"domain_scores_gemma":[0.9966586,0.000279787,0.001269804,0.0001273313,0.0009740236,0.0006904487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000259482,0.00001151344,0.9981382,0.00001615291,0.00002958941,0.0000464879,0.0005031833,0.00002312269,0.00007860264,0.00002139707,0.0004589742,0.0006468671],"study_design_scores_gemma":[0.000006056059,0.00001253014,0.9989933,0.00001276603,0.00001473605,0.00003785308,0.0004749477,0.00008116956,0.00001279239,0.000006517603,0.0003427177,0.000004567628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994769,0.0005414851,0.00008352869,0.0004757978,0.000009362146,0.00003790299,0.002662452,0.000005508668,0.001414834],"genre_scores_gemma":[0.9984998,0.0002730666,0.00006072723,0.0001440497,0.000005784896,0.00001389002,0.0006734732,0.000002452373,0.000326793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01896917,"threshold_uncertainty_score":0.1376316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.317449396983858,"score_gpt":0.5390898269670275,"score_spread":0.2216404299831694,"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."}}