{"id":"W4243617608","doi":"10.1093/jcag/gwy008.217","title":"A216 HEALTH CARE UTILIZATION PATTERNS BASED ON HEALTH ADMINISTRATIVE DATA ARE MODERATELY EFFECTIVE AT PREDICTING DISEASE BEHAVIOUR AT DIAGNOSIS IN ULCERATIVE COLITIS PATIENTS","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; University of Ottawa","funders":"","keywords":"Medicine; Ulcerative colitis; Logistic regression; Inflammatory bowel disease; Disease; Colitis; Internal medicine; Population; Observational study; Health care; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002591089,0.0001728308,0.0004555426,0.0003923324,0.001162244,0.00002001683,0.0004549474,0.000135451,0.0002241871],"category_scores_gemma":[0.004677307,0.0001531286,0.00007927955,0.0002199709,0.00008277238,0.0002758263,0.0001634811,0.0007299138,0.00001278382],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02652829,"about_ca_system_score_gemma":0.005296893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03917809,"about_ca_topic_score_gemma":0.9417673,"domain_scores_codex":[0.9912102,0.006069601,0.001007599,0.0003013911,0.0007074966,0.0007037381],"domain_scores_gemma":[0.9927323,0.0006524567,0.00373835,0.0004012959,0.001698487,0.0007770351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001838259,0.0002173761,0.9804972,0.00009254331,0.00004929441,0.000003728027,0.00487802,0.00006819713,1.750281e-7,0.000002853866,0.01210307,0.0002493006],"study_design_scores_gemma":[0.002475031,0.001822047,0.9913119,0.0004874413,0.0000284005,0.000001298796,0.002985841,0.0003801932,0.000003527306,0.00001025598,0.0004376845,0.00005637258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957594,0.00001772898,0.00002105566,0.0352285,0.001068196,0.001806752,0.004186017,0.000004828459,0.00007294176],"genre_scores_gemma":[0.9892538,0.00002892926,0.00002366851,0.00976235,0.0002062747,0.0001308251,0.0004490092,0.00002526803,0.0001198833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025892,"threshold_uncertainty_score":0.9772087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08611959839435213,"score_gpt":0.4451080988765337,"score_spread":0.3589885004821816,"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."}}