{"id":"W2996351905","doi":"10.1016/j.canep.2019.101654","title":"Associations between area-level deprivation, rural residence, physician density, screening policy and late-stage colorectal cancer in Canada","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Canada Foundation for Innovation","keywords":"Medicine; Colorectal cancer; Residence; Colorectal cancer screening; Stage (stratigraphy); Cancer stage; Cancer screening; Cancer; Family medicine; Gerontology; Oncology; Demography; Internal medicine; Colonoscopy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005063523,0.0002597633,0.0004548164,0.001111427,0.001852282,0.001289602,0.001183908,0.0006186524,0.00361434],"category_scores_gemma":[0.002793283,0.0003837291,0.0008696736,0.00325216,0.0006681752,0.0003748689,0.0008278216,0.001038061,0.0001838005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01933088,"about_ca_system_score_gemma":0.03337982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99518,"about_ca_topic_score_gemma":0.9972928,"domain_scores_codex":[0.999091,0.00008820276,0.0000871864,0.0001730038,0.0002063289,0.0003542497],"domain_scores_gemma":[0.9968232,0.000257217,0.0006427242,0.00009035233,0.001041483,0.001145106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001119363,0.00002963669,0.9964683,0.00002873533,0.00007810367,0.00004417969,0.0001771208,0.0001384584,0.00007470963,0.00008794698,0.0008164187,0.001944392],"study_design_scores_gemma":[0.0000103257,0.00001716012,0.9983212,0.00002759239,0.00004571475,0.0000371553,0.000579886,0.0003304543,0.00002436783,0.00003471231,0.0005624893,0.000008853271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888515,0.002256266,0.0001376744,0.0009736505,0.00003538841,0.00002347458,0.00505951,0.00001929897,0.002643221],"genre_scores_gemma":[0.9971874,0.0005963664,0.00009823117,0.0001005653,0.00001143359,0.000005566475,0.0008531921,0.000004637185,0.001142533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933088,"threshold_uncertainty_score":0.140256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06677904427096908,"score_gpt":0.3436030577857828,"score_spread":0.2768240135148137,"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."}}