{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002165342,0.0004804899,0.001184545,0.0001651015,0.0005290518,0.00001179533,0.0006213054,0.000387149,0.06343441],"category_scores_gemma":[0.005145378,0.000371623,0.00004803358,0.0007857665,0.00011745,0.0002448655,0.000180429,0.002344013,0.00006770426],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009105196,"about_ca_system_score_gemma":0.03030149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995366,"about_ca_topic_score_gemma":0.9997078,"domain_scores_codex":[0.9924124,0.001448044,0.001552279,0.000960981,0.00259053,0.001035759],"domain_scores_gemma":[0.9919104,0.004124313,0.00081347,0.001205902,0.0007664407,0.001179481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001727416,0.00009865601,0.934998,0.000222481,0.0001060804,0.0001107828,0.01885879,0.00007048852,0.000002215643,0.00002087992,0.04286398,0.002474929],"study_design_scores_gemma":[0.005189115,0.0002210919,0.901633,0.002138091,0.0001348765,7.141683e-7,0.01625907,0.0002198362,0.000001045975,0.00001942726,0.07383975,0.0003439402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.905259,0.001740767,0.00000969887,0.08368635,0.005670789,0.002673916,0.0001573804,0.0001105926,0.0006915684],"genre_scores_gemma":[0.9380476,0.0001033051,0.00004645674,0.05488454,0.002251496,0.0006944272,0.0003482422,0.00007963374,0.003544237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0633667,"threshold_uncertainty_score":0.9999576,"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."}}