{"id":"W4387873507","doi":"10.54932/qsho2261","title":"Improving Breast Cancer Diagnosis Pathways in Quebec","year":2023,"lang":"en","type":"report","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Breast cancer; Government (linguistics); Medicine; Cancer; Breast cancer screening; Family medicine; Mammography","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":[0.0008222735,0.0001882817,0.0001204933,0.00105777,0.001643564,0.001291948,0.0007100533,0.0003231985,0.006781756],"category_scores_gemma":[0.00297446,0.0001323077,0.0002497904,0.00288339,0.0003031017,0.0004835035,0.000714108,0.0004462062,0.0004648863],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04753201,"about_ca_system_score_gemma":0.06734355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941252,"about_ca_topic_score_gemma":0.9971753,"domain_scores_codex":[0.999209,0.0001544352,0.00003388328,0.00007102716,0.0001861351,0.000345581],"domain_scores_gemma":[0.9972536,0.0003850506,0.0003313303,0.00006018794,0.001260726,0.0007091573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002361366,0.0002776789,0.6455444,0.0005115966,0.00009972198,0.0007701157,0.003003098,0.006692473,0.001243626,0.007676973,0.1201238,0.2138204],"study_design_scores_gemma":[0.00007811535,0.0001352624,0.8799859,0.0004189346,0.00004508471,0.0002696922,0.005719016,0.005431524,0.0006070019,0.0005173413,0.1067318,0.00006033604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.777312,0.008905782,0.003433236,0.0432025,0.0003320097,0.0009858813,0.05683037,0.0005812673,0.1084169],"genre_scores_gemma":[0.9445903,0.004479661,0.004508298,0.002644435,0.0000506059,0.0002685206,0.01469593,0.0000517882,0.02871049],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.952468,"threshold_uncertainty_score":0.3448705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794638692933996,"score_gpt":0.3898972305409137,"score_spread":0.2104333612475141,"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."}}