{"id":"W2523304255","doi":"","title":"Abstract A44: The prevalence of prognostic and treatment features for breast cancer survival: Are they different for First Nations women compared to other women in Ontario, Canada?","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Cancer Care Ontario; University of Toronto","funders":"","keywords":"Medicine; Breast cancer; Socioeconomic status; Cancer registry; Ethnic group; Cancer; Demography; Cohort; Population; Mammography; Stage (stratigraphy); Gynecology; Gerontology; Family medicine; Internal medicine; Environmental health","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":[0.0004813019,0.0002512266,0.0002624845,0.001441392,0.001808643,0.0008597858,0.001011575,0.0004056623,0.00315244],"category_scores_gemma":[0.002145384,0.0002381729,0.0005337257,0.003177315,0.0008101391,0.0004013178,0.0006131413,0.0003798559,0.0002163249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01703274,"about_ca_system_score_gemma":0.01625301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845919,"about_ca_topic_score_gemma":0.9873131,"domain_scores_codex":[0.99926,0.00004915648,0.00005041191,0.0001583835,0.0002285987,0.000253492],"domain_scores_gemma":[0.9979982,0.0001053298,0.0007042096,0.00007486545,0.0007185263,0.0003988731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002564776,0.000004864814,0.9981938,0.00001638065,0.00001195178,0.00003721851,0.0002008195,0.00001794607,0.00007207417,0.00002310154,0.0003785884,0.001017456],"study_design_scores_gemma":[0.000001545189,0.000006042689,0.9992691,0.000008320038,0.000007150063,0.00003638585,0.0003827717,0.00003477344,0.00001686485,0.000007516892,0.0002276394,0.000001869237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880405,0.0008669187,0.0001022228,0.0005333762,0.00001214386,0.00005323641,0.007756457,0.00001036172,0.002624853],"genre_scores_gemma":[0.9976161,0.0002419055,0.000101589,0.00004772246,0.000005125654,0.00001604705,0.001354221,0.000002956408,0.0006145407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703274,"threshold_uncertainty_score":0.1235818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035706282813563,"score_gpt":0.373135772590602,"score_spread":0.2695651443092457,"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."}}