{"id":"W2068930464","doi":"10.1002/cncr.26034","title":"Association of area sociodemographic characteristics and capacity for treatment with disparities in colorectal cancer care and mortality","year":2011,"lang":"en","type":"article","venue":"Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"American Cancer Society","keywords":"Medicine; Colorectal cancer; Odds ratio; Demography; Confidence interval; Gerontology; Cancer; Epidemiology; Odds; Health care; Receipt; Logistic regression; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008549654,0.000115619,0.0001659498,0.0007733668,0.0003061503,0.000437315,0.0003177635,0.0002669952,0.003738212],"category_scores_gemma":[0.004125339,0.0001154043,0.0003119822,0.0007964521,0.0003401414,0.000363824,0.0006157829,0.0003584792,0.0001574043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648305,"about_ca_system_score_gemma":0.000660768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008339121,"about_ca_topic_score_gemma":0.01201565,"domain_scores_codex":[0.9994697,0.0001652092,0.00006270957,0.0001042902,0.000104594,0.00009348467],"domain_scores_gemma":[0.9959681,0.0009497621,0.001943866,0.0001920481,0.0003432603,0.0006030317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002264491,0.00002185209,0.9987262,0.000008471612,0.00004446879,0.00001212414,0.00004059187,0.00005977365,0.000063713,0.00004212417,0.00009608016,0.0008618905],"study_design_scores_gemma":[0.000001775772,0.00001700009,0.9994723,0.000005997919,0.000009170154,0.00003792671,0.0001174818,0.0001491411,0.00002056464,0.00004303729,0.0001242544,0.000001443202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981804,0.0001709752,0.0001486473,0.0002366514,0.00000541922,0.000008911135,0.0004866711,0.000003562033,0.0007588459],"genre_scores_gemma":[0.9995485,0.00005021948,0.00009714432,0.00002184963,0.00000914044,0.000006201623,0.0002054254,0.000001073633,0.00006040049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008339121,"threshold_uncertainty_score":0.01658112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011618908904818,"score_gpt":0.3222519499791703,"score_spread":0.2210900590886886,"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."}}