{"id":"W4407285696","doi":"10.1093/jcag/gwae059.175","title":"A175 MACHINE LEARNING MODELLING OF MULTIMORBIDITY PATTERNS AND PREMATURE MORTALITY IN INFLAMMATORY BOWEL DISEASE","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Inflammatory bowel disease; Multimorbidity; Medicine; Disease; Intensive care medicine; Internal medicine","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":[0.001412038,0.0004956139,0.0005729544,0.0005579596,0.0003682784,0.0007387457,0.0007945755,0.000702063,0.001742319],"category_scores_gemma":[0.00478012,0.0002998001,0.0006663176,0.000439038,0.0003206652,0.0003571097,0.0006520455,0.0008433344,0.0001866999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185408,"about_ca_system_score_gemma":0.001343313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06807344,"about_ca_topic_score_gemma":0.04457454,"domain_scores_codex":[0.9996285,0.0001461017,0.00002153896,0.00009559128,0.00002709218,0.00008117494],"domain_scores_gemma":[0.9984256,0.0009943964,0.0002154405,0.00005823914,0.0002087894,0.00009755909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001884616,0.0001236925,0.07227734,0.00004037234,0.000148573,0.0001748469,0.0001078495,0.9064118,0.0004007545,0.00128,0.000806363,0.01803997],"study_design_scores_gemma":[0.000003733869,0.00001419326,0.003420284,0.00000451492,0.000005941545,0.000008747785,0.000009930706,0.9959812,0.00002836914,0.0004686241,0.00005168491,0.000002771248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309809,0.0004716741,0.06479642,0.0008020583,0.00006210285,0.00006744546,0.001073188,0.000238088,0.001508157],"genre_scores_gemma":[0.9948966,0.00005993448,0.003776995,0.00003239136,0.00001128296,0.00004472292,0.0003395168,0.000006329144,0.0008321943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06807344,"threshold_uncertainty_score":0.1353545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06131473318144937,"score_gpt":0.3477844190319248,"score_spread":0.2864696858504754,"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."}}