{"id":"W2013903521","doi":"10.1371/journal.pmed.0030048","title":"Epidemiology As a Tool to Reveal Inequalities in Breast Cancer Care","year":2006,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Epidemiology; Breast cancer; Medicine; Cancer; Health care; Inequality; Epidemiology of cancer; Family medicine; Gerontology; Internal medicine; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004427688,0.0001893302,0.0007258158,0.0002005858,0.00004054832,0.000001956588,0.0001138615,0.0001105445,0.0006897627],"category_scores_gemma":[0.0007283363,0.0001420403,0.00005026255,0.0003934531,0.0001082384,0.00006251101,0.00004472945,0.0002532526,0.00006919056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358053,"about_ca_system_score_gemma":0.0001787719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03399924,"about_ca_topic_score_gemma":0.001608836,"domain_scores_codex":[0.9981166,0.00009208334,0.0006049892,0.0003503617,0.0003545369,0.0004814072],"domain_scores_gemma":[0.9990556,0.0001941808,0.00008899147,0.000278092,0.0002059522,0.0001771626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006521528,0.00005129696,0.9532658,0.0002683484,0.0000324205,0.0002583032,0.001959019,0.00007531795,0.00224213,0.001961421,0.033651,0.005582756],"study_design_scores_gemma":[0.002721269,0.0007140283,0.9774341,0.003421752,0.0001417569,0.0002708182,0.004384823,0.00005290942,0.0003953834,0.001296474,0.008889836,0.0002768777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345195,0.00551717,0.00002886655,0.04812894,0.0001935197,0.0004521112,0.00003350624,0.00006636737,0.01105997],"genre_scores_gemma":[0.9767634,0.0001040913,0.0004397271,0.01943794,0.00164958,0.000127727,0.00004977825,0.00001966686,0.001408039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04224389,"threshold_uncertainty_score":0.9724334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229487832372416,"score_gpt":0.3924801667182068,"score_spread":0.2695313834809652,"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."}}