{"id":"W3164339555","doi":"10.1093/jcag/gwaa035","title":"Decreased Colorectal Cancer Incidence and Incidence-Based Mortality in the Screening-Age Population of Ontario","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Medicine; Incidence (geometry); Colorectal cancer; Population; Cancer registry; Demography; Cancer; Epidemiology; Internal medicine; Environmental health","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":[0.0003869586,0.0002379055,0.0002346445,0.00107198,0.001107125,0.0007615482,0.0006997155,0.0002635183,0.001984652],"category_scores_gemma":[0.001897023,0.0001935646,0.0005056638,0.002189611,0.0004039024,0.0004295576,0.0005842992,0.0003307737,0.0001924722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02378108,"about_ca_system_score_gemma":0.02068107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856253,"about_ca_topic_score_gemma":0.9924837,"domain_scores_codex":[0.9993782,0.00003554391,0.0000370725,0.00008690385,0.0002679148,0.0001942883],"domain_scores_gemma":[0.9981833,0.00005082172,0.0006299155,0.00003871692,0.00075416,0.0003430023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007014948,0.00001406163,0.9934072,0.00008098022,0.00005317442,0.00007944414,0.000471285,0.000119508,0.0002870831,0.00007421956,0.00170131,0.003641444],"study_design_scores_gemma":[0.000003734352,0.00001120107,0.9986688,0.0000132632,0.00001240148,0.00002660117,0.0001810269,0.00008149193,0.00002970599,0.000008701612,0.000960724,0.000002257983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802214,0.001372841,0.0002466662,0.001116357,0.00002568356,0.00006746522,0.01089057,0.00004007908,0.006018847],"genre_scores_gemma":[0.9952201,0.0004955829,0.0001937899,0.0001349367,0.000013364,0.00002447078,0.002374242,0.000005469958,0.001537911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02378108,"threshold_uncertainty_score":0.1725446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129285964883126,"score_gpt":0.2628043376380186,"score_spread":0.2415114779891874,"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."}}