{"id":"W2154851553","doi":"10.1158/1055-9965.epi-08-1014","title":"Prediagnosis Reproductive Factors and All-Cause Mortality for Women with Breast Cancer in the Breast Cancer Family Registry","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Cancer Care Ontario; Lunenfeld-Tanenbaum Research Institute","funders":"Cancer Council Victoria; Cancer Care Ontario; National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; Huntsman Cancer Institute; Medical Research Council","keywords":"Medicine; Breast cancer; Hazard ratio; Gynecology; Obstetrics; Proportional hazards model; Menarche; Breastfeeding; Body mass index; Population; Pregnancy; Cancer; National Death Index; Cancer registry; Cohort; Cohort study; Confidence interval; Demography; Internal medicine; Pediatrics; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002647507,0.0001437396,0.0003690202,0.000837595,0.0003048245,0.0005094296,0.0004537675,0.0002897586,0.000947936],"category_scores_gemma":[0.007757188,0.0002877026,0.0004977278,0.001453798,0.0001687943,0.0006123637,0.000436537,0.0005305078,0.0002057559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568915,"about_ca_system_score_gemma":0.0005997933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710772,"about_ca_topic_score_gemma":0.02353214,"domain_scores_codex":[0.9988168,0.0005458742,0.0001113182,0.0002262067,0.000183265,0.0001165753],"domain_scores_gemma":[0.9957089,0.001206299,0.001824469,0.0006657566,0.0003389746,0.0002555087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005790023,0.00001028462,0.9987068,0.000008505514,0.000048094,0.00002955788,0.00003177515,0.00003596541,0.00002536179,0.00001474332,0.0001939347,0.0008370442],"study_design_scores_gemma":[0.000007489857,0.00002772039,0.9992232,0.000007393919,0.00004027631,0.000136985,0.0000528864,0.0001485001,0.00003162038,0.00001834258,0.0003020121,0.000003589624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929777,0.0009400161,0.0003207569,0.0001452857,0.0000153047,0.00002154174,0.004783688,0.00001494688,0.0007807796],"genre_scores_gemma":[0.9960504,0.0005179486,0.0002720969,0.00005284673,0.00001991506,0.00003722561,0.002771102,0.000004704521,0.0002737842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710772,"threshold_uncertainty_score":0.03401631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07962693729767914,"score_gpt":0.3970547598991201,"score_spread":0.317427822601441,"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."}}