{"id":"W2132251912","doi":"10.1007/s11606-010-1575-7","title":"Presence and Correlates of Racial Disparities in Adherence to Colorectal Cancer Screening Guidelines","year":2010,"lang":"en","type":"article","venue":"Journal of General Internal Medicine","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Medicine; Marital status; National Health Interview Survey; Demography; Health equity; Behavioral Risk Factor Surveillance System; Gerontology; Logistic regression; Colorectal cancer; Odds; Race (biology); Racial differences; Odds ratio; Ethnic group; Cancer; Public health; Environmental health; Population; 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":[0.001347483,0.000197462,0.0003901221,0.0009056562,0.0009233609,0.001025507,0.0005970004,0.001178236,0.003087851],"category_scores_gemma":[0.009837549,0.0004291418,0.0005807135,0.001830004,0.000616739,0.0006108172,0.0007097262,0.00161687,0.0002059167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004465856,"about_ca_system_score_gemma":0.0007153807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016698,"about_ca_topic_score_gemma":0.02339591,"domain_scores_codex":[0.9983157,0.0006073727,0.0002250661,0.0002636947,0.0002376272,0.0003506063],"domain_scores_gemma":[0.9902063,0.002682861,0.004356959,0.0007487745,0.0007233533,0.001281803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008961565,0.0000829018,0.9988926,0.000003206944,0.00005563254,0.00001912531,0.0001018968,0.0000207839,0.00006445756,0.00005849437,0.00005400865,0.0005571669],"study_design_scores_gemma":[0.000004632821,0.00003858386,0.9993568,0.000004736497,0.0000265799,0.00005301007,0.0002404609,0.000143777,0.0000179793,0.00004053368,0.00007021461,0.000002730811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987072,0.0001670943,0.00003437501,0.0002155527,0.00001081921,0.000004461583,0.0001286451,0.000001729448,0.0007301368],"genre_scores_gemma":[0.999691,0.00005645609,0.00004593947,0.00003021545,0.00001622481,0.000002715475,0.00007674199,0.000001753406,0.00007901691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016698,"threshold_uncertainty_score":0.0400992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302715830014433,"score_gpt":0.367996933408006,"score_spread":0.3249697751078617,"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."}}