{"id":"W2312365529","doi":"10.1097/mib.0000000000000103","title":"Changing Age Demographics of Inflammatory Bowel Disease in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Incidence (geometry); Inflammatory bowel disease; Poisson regression; Cohort; Demography; Ulcerative colitis; Population; Cohort study; Epidemiology; Internal medicine; Disease; 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":[0.0005422884,0.0002147458,0.0002791817,0.001570605,0.002087446,0.0008886814,0.0009507104,0.0003390651,0.002176068],"category_scores_gemma":[0.001874923,0.0002134084,0.0005275054,0.00423801,0.000475565,0.0004021991,0.0005993833,0.0005403432,0.0002879485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03661418,"about_ca_system_score_gemma":0.04273767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996944,"about_ca_topic_score_gemma":0.9980281,"domain_scores_codex":[0.9989717,0.00005243487,0.00006339267,0.0001267364,0.0004060333,0.0003797174],"domain_scores_gemma":[0.9973119,0.0000636745,0.0005274782,0.00004424371,0.001461698,0.0005909387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004094534,0.00001911387,0.9857112,0.00007007939,0.0000340714,0.0001489191,0.000841302,0.0001262501,0.0001733797,0.0001337948,0.005630812,0.007070205],"study_design_scores_gemma":[0.000005719752,0.00001146684,0.9954267,0.00004656678,0.00001449496,0.00008637403,0.0006691986,0.000131457,0.00002263634,0.00002301725,0.003555097,0.000007345161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428496,0.007339565,0.0004479777,0.005069272,0.0001443433,0.0001977354,0.03066503,0.000069234,0.01321725],"genre_scores_gemma":[0.9867523,0.003297198,0.0005004237,0.00065038,0.00003522112,0.00007562733,0.005407809,0.00001453556,0.003266606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03661418,"threshold_uncertainty_score":0.2656557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005231875216188314,"score_gpt":0.1983842514821345,"score_spread":0.1931523762659462,"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."}}