{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004551306,0.0003006949,0.0003829965,0.001910795,0.002124838,0.0009135411,0.0008545088,0.0003389256,0.002486678],"category_scores_gemma":[0.001950828,0.000286923,0.0006326326,0.005290221,0.0004454627,0.0002968161,0.0006257226,0.0006117529,0.0002863104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03208834,"about_ca_system_score_gemma":0.04041329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968413,"about_ca_topic_score_gemma":0.9979476,"domain_scores_codex":[0.9992441,0.00003886296,0.00004776425,0.0001017983,0.0002868915,0.000280672],"domain_scores_gemma":[0.9978564,0.00008285214,0.0002866634,0.00003712479,0.001301036,0.000435923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001143592,0.00001808164,0.9823372,0.00009688723,0.0001149702,0.0001068185,0.0002625693,0.0002775484,0.0001408912,0.0001935385,0.007719406,0.008617848],"study_design_scores_gemma":[0.00001358992,0.00001046843,0.9964477,0.00007260705,0.00005353402,0.0001137271,0.0004998797,0.0003799559,0.00005509401,0.00005580168,0.00228784,0.00000987233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202705,0.01059814,0.0003868332,0.002948677,0.00007784957,0.00009830985,0.05486044,0.00009429631,0.01066491],"genre_scores_gemma":[0.9836083,0.004348535,0.0004089942,0.0003706392,0.00001850939,0.0000327394,0.009275017,0.00001605313,0.001921217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03208834,"threshold_uncertainty_score":0.2328183,"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."}}