{"id":"W4247762011","doi":"10.1093/ibd/izy393.002","title":"19 IDENTIFICATION OF PATIENTS WITH INFLAMMATORY BOWEL DISEASE AT HIGH RISK OF URGENT CARE UTILIZATION THROUGH IBD QORUS, A LEARNING HEALTHCARE SYSTEM","year":2019,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Logistic regression; Emergency department; Inflammatory bowel disease; Health care; Disease; Emergency medicine; Risk assessment; Crohn's disease; Internal medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009205347,0.0001575408,0.000224279,0.0009161103,0.0004953022,0.0005014968,0.0003593512,0.0002270172,0.001548603],"category_scores_gemma":[0.002733394,0.0001843747,0.000250813,0.001127022,0.0002031169,0.0004019404,0.0008297251,0.0003294604,0.0002097897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008166984,"about_ca_system_score_gemma":0.001477467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881424,"about_ca_topic_score_gemma":0.05174612,"domain_scores_codex":[0.9992027,0.0002762196,0.0001004817,0.0001426751,0.0001094276,0.0001684723],"domain_scores_gemma":[0.997483,0.0004392764,0.001260966,0.00009934869,0.0002425926,0.0004749239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004288482,0.00005364878,0.9974075,0.00001095311,0.000008222946,0.00003282463,0.0001108903,0.00001474328,0.00007871254,0.000007823369,0.0001543754,0.00207744],"study_design_scores_gemma":[0.0000118381,0.0001742387,0.998893,0.00001036886,0.000006793494,0.00008108257,0.0003215082,0.0001888353,0.00005779025,0.00001205495,0.0002395205,0.000003036593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986743,0.00007023454,0.0001090933,0.00007404901,0.000003551127,0.00005842706,0.000475429,0.000005116491,0.0005297915],"genre_scores_gemma":[0.9981074,0.0001021333,0.0006562574,0.000119261,0.00001564283,0.00006454105,0.0007014178,0.000001790896,0.000231592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02881424,"threshold_uncertainty_score":0.05729306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006273043336716939,"score_gpt":0.2234267093220755,"score_spread":0.2171536659853586,"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."}}