{"id":"W2114539678","doi":"10.1093/jnci/djt461","title":"Radiologist Interpretive Volume and Breast Cancer Screening Accuracy in a Canadian Organized Screening Program","year":2014,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Radiology practices and education","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Confidence interval; Mammography; False positive paradox; Volume (thermodynamics); Poisson regression; Breast cancer; Nuclear medicine; Radiology; Statistics; Cancer; Mathematics; Internal medicine; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.002508988,0.000235186,0.0002228509,0.001485701,0.0007838603,0.0008272467,0.001365609,0.0003328853,0.0012104],"category_scores_gemma":[0.02259406,0.0002248012,0.0003538025,0.001906262,0.0006273115,0.0002977804,0.0005218059,0.0004169161,0.00008007991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02135197,"about_ca_system_score_gemma":0.02404674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974659,"about_ca_topic_score_gemma":0.9774629,"domain_scores_codex":[0.9971626,0.0004225162,0.000125128,0.0002504842,0.001635663,0.0004035062],"domain_scores_gemma":[0.9868873,0.002652682,0.003839372,0.0003233386,0.005224948,0.001072398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000734607,0.00001764332,0.9895416,0.0000523604,0.00005153574,0.00004863845,0.0002765968,0.0008595363,0.0001156308,0.0001330228,0.0009961262,0.007833839],"study_design_scores_gemma":[0.000006421675,0.00002477256,0.9978347,0.00003157491,0.00002415075,0.00005371201,0.0001461935,0.001272859,0.00008543448,0.00003294057,0.0004813013,0.000005942212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916692,0.0009989288,0.000688509,0.001312634,0.00001681716,0.00004398658,0.001643583,0.0000455967,0.003580875],"genre_scores_gemma":[0.9986066,0.0001659299,0.0004714427,0.00005545422,0.000007085689,0.000008159024,0.0004861941,0.000004939424,0.000194153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02534103,"threshold_uncertainty_score":0.15492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032208788804079,"score_gpt":0.37971786721128,"score_spread":0.3393957793232393,"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."}}