{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916586,0.0001626864,0.0004651767,0.00006442811,0.0001500404,0.000005229666,0.00007229931,0.00007856243,0.0001118822],"category_scores_gemma":[0.0002370335,0.0001063139,0.00005853532,0.00006834215,0.00006881401,0.00003891781,0.00001150301,0.00006847303,5.036213e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190984,"about_ca_system_score_gemma":0.0004117491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3970837,"about_ca_topic_score_gemma":0.9802126,"domain_scores_codex":[0.9987988,0.00008919673,0.0003454085,0.0002987941,0.00007537552,0.0003924354],"domain_scores_gemma":[0.9984924,0.0009310239,0.00020374,0.0001318251,0.00008105175,0.000159947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002267365,0.00005854927,0.9838054,0.000359654,0.0002445282,7.137426e-7,0.001459709,0.0001484626,0.00005101326,0.0001093388,0.001566541,0.009928736],"study_design_scores_gemma":[0.001420718,0.0003443027,0.9931006,0.0006517462,0.00009070129,0.000004255077,0.0006610329,0.00004290617,0.00001495734,0.001113201,0.002450742,0.0001047667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831234,0.002717628,0.00006349207,0.01162485,0.0001466226,0.001711162,0.0005554436,0.000007917079,0.00004955054],"genre_scores_gemma":[0.9961019,0.0005982033,0.00009361495,0.0007867899,0.00004872947,0.001753047,0.00001404464,0.000007131461,0.0005965001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5831288,"threshold_uncertainty_score":0.6069311,"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."}}