{"id":"W2293153297","doi":"10.1155/2016/7284303","title":"The Influences of Health Insurance and Access to Information on Prostate Cancer Screening among Men in Dominican Republic","year":2016,"lang":"en","type":"article","venue":"Journal of Cancer Epidemiology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"Division of Graduate Education","keywords":"Prostate cancer screening; Prostate cancer; Logistic regression; Medicine; Population; Propensity score matching; Demography; Cancer; Gerontology; Environmental health; Prostate-specific antigen; 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":[0.000470331,0.0001268924,0.0001258722,0.0005864364,0.000464004,0.0006575584,0.0002448742,0.0001855777,0.002946318],"category_scores_gemma":[0.002640114,0.0001034322,0.0002107482,0.0006955807,0.0002626267,0.0001998617,0.000502094,0.0002893117,0.00008362815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142278,"about_ca_system_score_gemma":0.0007287807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1606569,"about_ca_topic_score_gemma":0.1914354,"domain_scores_codex":[0.9996079,0.0001729409,0.00001851589,0.00004624385,0.00004054239,0.0001139436],"domain_scores_gemma":[0.9988843,0.000320629,0.0004200154,0.00004583643,0.00007558244,0.0002537035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004695637,0.0000336828,0.9974102,0.000007258731,0.00003190657,0.00005558373,0.0002851118,0.00005013786,0.0000652561,0.00004712807,0.000149532,0.001817127],"study_design_scores_gemma":[0.00000353061,0.00002037282,0.9988172,0.00001184462,0.00001272232,0.00003363386,0.0007081789,0.00009982922,0.00001298737,0.00001644054,0.0002616765,0.000001453402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985942,0.0003607962,0.00001348013,0.0002192613,0.00000262869,0.000003285972,0.0001465955,0.000001258618,0.0006584683],"genre_scores_gemma":[0.9997014,0.000067068,0.000006831685,0.00002138675,0.000002167955,0.000001129751,0.00004959463,3.821788e-7,0.0001500372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1606569,"threshold_uncertainty_score":0.3194436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07022400757561027,"score_gpt":0.4268860118839447,"score_spread":0.3566620043083344,"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."}}