{"id":"W4403972842","doi":"10.1093/oncolo/oyae283","title":"Breast cancer incidence and mortality, by age, stage and molecular subtypes, by race/ethnicity in Canada","year":2024,"lang":"en","type":"article","venue":"The Oncologist","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Statistics Canada; University of Ottawa","funders":"Women and Gender Equality Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Race (biology); Ethnic group; Incidence (geometry); Breast cancer; Stage (stratigraphy); Cancer; Medicine; Demography; Oncology; Internal medicine; Biology; Gender studies; Sociology; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003906921,0.0001287532,0.0002406563,0.00001932545,0.00005721093,0.00004287473,0.0001124234,0.00005749121,0.00007391213],"category_scores_gemma":[0.00003491444,0.00008866267,0.00001808648,0.000195715,0.0002307183,0.00007407063,0.0001068185,0.0003047533,0.00000121389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007038576,"about_ca_system_score_gemma":0.00091091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9649527,"about_ca_topic_score_gemma":0.9478817,"domain_scores_codex":[0.9989535,0.00006578671,0.0001786079,0.0002774901,0.0002759126,0.0002487069],"domain_scores_gemma":[0.9995658,0.00009025543,0.00002925664,0.0001754075,0.00002523197,0.0001140693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003103267,0.00004700276,0.7801107,0.0003433549,0.0001432391,0.004342583,0.0004446675,0.00007023379,0.01984195,0.0005213048,0.1708882,0.02293646],"study_design_scores_gemma":[0.00125268,0.0002821081,0.9401879,0.0007365357,0.0002751909,0.0005938183,0.001518028,0.002137194,0.003271663,0.0003614956,0.04887713,0.0005062472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686373,0.02294384,0.00002715485,0.006941898,0.00009784351,0.0002236528,0.000216846,0.00002370956,0.0008877092],"genre_scores_gemma":[0.9948907,0.001658829,0.00001993884,0.002777279,0.00003457007,0.00002524328,0.00001257492,0.00001012041,0.000570723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600772,"threshold_uncertainty_score":0.3615559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235140625839118,"score_gpt":0.3588488841069859,"score_spread":0.3164974778485947,"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."}}