{"id":"W2118404277","doi":"10.17269/cjph.104.4099","title":"Measuring the Mortality Impact of Breast Cancer Screening","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Cancer; Breast cancer; Medicine; Oncology; Obstetrics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.00251108,0.0005873173,0.0004105011,0.00181432,0.0003227099,0.0009067839,0.0005254932,0.0006209565,0.002133782],"category_scores_gemma":[0.01755223,0.0002132002,0.0009323566,0.001717278,0.0002482138,0.0007902695,0.0007503937,0.0008012948,0.0003729298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761464,"about_ca_system_score_gemma":0.001724177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03489323,"about_ca_topic_score_gemma":0.05185644,"domain_scores_codex":[0.9976228,0.001166237,0.0001388739,0.0001755153,0.0005961302,0.0003003454],"domain_scores_gemma":[0.9941021,0.003040746,0.00109962,0.0002833159,0.0009425108,0.0005317952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002843495,0.0002049368,0.9629328,0.00007982466,0.0003463374,0.00004130769,0.00008388969,0.005074591,0.0002277446,0.0003271353,0.001246601,0.02915052],"study_design_scores_gemma":[0.00002487912,0.0007157176,0.9860119,0.00005143082,0.0004435029,0.0000987395,0.0005318391,0.009265874,0.0007931128,0.0007394404,0.001304002,0.00001954361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832574,0.001417254,0.001038289,0.001839916,0.00007940667,0.00005984312,0.004375637,0.00004440831,0.007887827],"genre_scores_gemma":[0.9971203,0.0003849044,0.0005881755,0.0001060833,0.00005268342,0.00001665312,0.001279357,0.000004038552,0.0004478804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9651068,"threshold_uncertainty_score":0.06938028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2629177741886751,"score_gpt":0.3995009554291135,"score_spread":0.1365831812404384,"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."}}