{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001530893,0.0001286667,0.0001420167,0.0001039796,0.00004350994,0.00003964297,0.0001435811,0.00003882026,0.00002590055],"category_scores_gemma":[0.0001241199,0.00009162224,0.0001058831,0.00003072601,0.00005046897,0.00001737403,0.00012449,0.00004081367,0.000003601011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002990496,"about_ca_system_score_gemma":0.00008019563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001479145,"about_ca_topic_score_gemma":0.000009593558,"domain_scores_codex":[0.9990176,0.00005261235,0.0003610179,0.0001651481,0.0001837289,0.0002199047],"domain_scores_gemma":[0.9991607,0.0000166742,0.0001374558,0.0001794931,0.00008332947,0.000422319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005087593,0.000101874,0.9822315,0.00008905489,0.0001305321,0.002509107,0.00003901678,0.0001007212,0.000234267,0.0005356685,0.00168101,0.007259642],"study_design_scores_gemma":[0.00130894,0.00005864021,0.9943349,0.0001277023,0.0000465042,0.00001181856,0.00005632585,0.000007131992,0.00008016434,0.0002033594,0.003632318,0.0001321631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983252,0.0003427374,0.0001983122,0.000477246,0.0001422343,0.0001821373,0.00004836408,0.000004673903,0.0002791396],"genre_scores_gemma":[0.9982867,0.0003414217,0.0002639805,0.0003969253,0.0001750325,0.00002024213,0.000001714554,0.00001582371,0.0004981522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210342,"threshold_uncertainty_score":0.3736247,"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."}}