{"id":"W2921988818","doi":"10.1093/jcag/gwz006.109","title":"A110 CLINICAL DECISION SUPPORT SYSTEM FOR IBD FLARE MANAGEMENT AND CORTICOSTEROID ADMINISTRATION: PRELIMINARY RESULTS FROM AN INTERRUPED TIME SERIES","year":2019,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; Alberta Health Services; University of Alberta","funders":"","keywords":"Informatics; Clinical decision support system; Medicine; Workflow; Health informatics; Decision support system; Ambulatory; Point of care; Disease; Medical emergency; Nursing; Computer science; Internal medicine; Artificial intelligence","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":[0.005729332,0.0005182381,0.0006587426,0.0008282741,0.0004040017,0.0009270991,0.0009085308,0.0006221987,0.006208451],"category_scores_gemma":[0.02554709,0.0002909154,0.0008020882,0.0006756854,0.0003271336,0.0009793325,0.0008283423,0.0007319922,0.001337339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009198749,"about_ca_system_score_gemma":0.001286807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191668,"about_ca_topic_score_gemma":0.001860939,"domain_scores_codex":[0.9967951,0.001789215,0.0003546379,0.0003240234,0.00059179,0.0001452749],"domain_scores_gemma":[0.9785669,0.01464754,0.0008755981,0.001926853,0.002395409,0.001587696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05870475,0.07251892,0.06758723,0.001752178,0.0005363859,0.0007201363,0.003755048,0.02229761,0.007680099,0.001061481,0.009679104,0.7537071],"study_design_scores_gemma":[0.027568,0.2153925,0.3227387,0.0005455117,0.001721928,0.001027226,0.004923556,0.3537418,0.0303215,0.003005528,0.03850243,0.0005112316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987442,0.0001586555,0.00703572,0.0001612735,0.00007416659,0.001902799,0.001282131,0.0006586424,0.001284548],"genre_scores_gemma":[0.956493,0.0002679648,0.03377677,0.0001911261,0.00009182032,0.002903027,0.003277594,0.0001127344,0.002886004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006208451,"threshold_uncertainty_score":0.03029996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750125969041312,"score_gpt":0.3671028094389827,"score_spread":0.3396015497485695,"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."}}