{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463032,0.0001094591,0.0002452908,0.0002258739,0.0001548072,0.00004105378,0.0001689483,0.00008868269,0.0001001142],"category_scores_gemma":[0.001969657,0.00007506329,0.00006526772,0.0002975691,0.0001790527,0.0004821409,0.00002774019,0.0004968307,0.000001083749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007725311,"about_ca_system_score_gemma":0.001797767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06540679,"about_ca_topic_score_gemma":0.06095589,"domain_scores_codex":[0.9989284,0.00009891685,0.0003396532,0.0001341938,0.0002778631,0.0002209236],"domain_scores_gemma":[0.9986152,0.0001390578,0.0004184056,0.00006985266,0.0005632569,0.0001942078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000790062,0.00007424571,0.8789035,0.00003940924,0.000297288,0.0000133868,0.001085008,0.002993798,0.0006125633,0.0003191728,0.007140638,0.1077309],"study_design_scores_gemma":[0.001178124,0.00008837746,0.9104531,0.0005631048,0.00009937261,0.001223854,0.0001210891,0.004649716,0.00003363546,0.00007622041,0.08141464,0.00009881292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383488,0.0009588428,0.0003518824,0.05746599,0.001660447,0.0003514549,0.00004275088,0.00001059915,0.0008092027],"genre_scores_gemma":[0.9936213,0.0002765677,0.002301045,0.002319117,0.00130155,0.00002256534,0.000003962602,0.00001006617,0.0001437692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076321,"threshold_uncertainty_score":0.9561792,"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."}}