{"id":"W2410109193","doi":"10.1093/ecco-jcc/jjw116","title":"Predicting Outcomes to Optimize Disease Management in Inflammatory Bowel Diseases","year":2016,"lang":"en","type":"article","venue":"Journal of Crohn s and Colitis","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Disease; Inflammatory bowel disease; Ulcerative colitis; Colectomy; Crohn's disease; Primary sclerosing cholangitis; Intensive care medicine; Risk assessment; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007265164,0.0006756841,0.000947796,0.002376741,0.0004249853,0.001757517,0.0005005238,0.0005805707,0.00178409],"category_scores_gemma":[0.02331221,0.0001712247,0.0006190172,0.00192561,0.0002903352,0.001248014,0.0007747603,0.001144819,0.0005007898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687307,"about_ca_system_score_gemma":0.001722105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587548,"about_ca_topic_score_gemma":0.002617488,"domain_scores_codex":[0.9974705,0.00152782,0.0003726132,0.0001617196,0.0003427374,0.0001246075],"domain_scores_gemma":[0.9908785,0.00363473,0.002994833,0.0002027009,0.001571433,0.0007177933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004796029,0.0003264385,0.6822343,0.002272221,0.0004833006,0.0002245449,0.0003944923,0.003212617,0.0002320717,0.001124926,0.02433463,0.2846808],"study_design_scores_gemma":[0.0003065339,0.001807011,0.9136803,0.0112367,0.001922606,0.001116201,0.002751653,0.01650904,0.001091263,0.01561795,0.03382984,0.0001309934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237351,0.1890756,0.04801415,0.08992916,0.00305318,0.001387306,0.009787971,0.0008695922,0.0341479],"genre_scores_gemma":[0.9318939,0.02993897,0.02954607,0.002429758,0.001313604,0.000428104,0.00363125,0.00005311051,0.000765093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007265164,"threshold_uncertainty_score":0.03842235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005309185219257701,"score_gpt":0.2335655187469343,"score_spread":0.2282563335276766,"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."}}