{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004544901,0.0004834355,0.0008060356,0.000954256,0.0008958294,0.001803155,0.0009063956,0.0006785984,0.001798221],"category_scores_gemma":[0.019878,0.0004401034,0.001623057,0.002652652,0.0003756454,0.0006936375,0.0006671476,0.0006147906,0.000515177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658437,"about_ca_system_score_gemma":0.004908877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4965872,"about_ca_topic_score_gemma":0.5882969,"domain_scores_codex":[0.9970105,0.001292966,0.0002928016,0.0004243017,0.0006813478,0.0002979525],"domain_scores_gemma":[0.9882913,0.003690045,0.0034226,0.001289363,0.002233027,0.001073619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002172937,0.00002685924,0.9954715,0.00002425863,0.0001743651,0.00001876497,0.00005602678,0.0002878575,0.00005266638,0.00001503311,0.0003851562,0.003270303],"study_design_scores_gemma":[0.00003176496,0.0001185962,0.9945129,0.00002372076,0.0001210316,0.00003533992,0.00009481447,0.00427045,0.00003753286,0.0000445831,0.0006975537,0.00001169787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905466,0.001052571,0.0006605154,0.0003830594,0.00002523241,0.00007920049,0.004564224,0.00004050589,0.002648046],"genre_scores_gemma":[0.9961393,0.0002403393,0.0005461855,0.00005963299,0.00001450247,0.00002304111,0.002554543,0.000005919321,0.0004164147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4965872,"threshold_uncertainty_score":0.9873936,"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."}}