{"id":"W2895456456","doi":"10.1016/j.cgh.2018.10.004","title":"Identifying Outcomes in Clinical Trials of Fistulizing Crohn’s Disease for the Development of a Core Outcome Set","year":2018,"lang":"en","type":"review","venue":"Clinical Gastroenterology and Hepatology","topic":"Diverticular Disease and Complications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials; University of Calgary","funders":"Canadian Institutes of Health Research; Johnson and Johnson; Ferring Pharmaceuticals; Tillotts Pharma; AbbVie Canada; Shire; Teva Pharmaceutical Industries; Bristol-Myers Squibb Canada; Janssen Pharmaceuticals; Gilead Sciences; Canadian Association of Gastroenterology; Merck; Pfizer","keywords":"Medicine; Crohn's disease; Outcome (game theory); Core (optical fiber); Set (abstract data type); Clinical trial; Disease; Crohn disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03732021,0.002051106,0.01585333,0.005378491,0.0005073057,0.003789381,0.003123935,0.002521737,0.003709952],"category_scores_gemma":[0.0990507,0.0007508827,0.01155672,0.004215984,0.001211728,0.003558701,0.003292156,0.003180312,0.0002858271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696625,"about_ca_system_score_gemma":0.006531603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001482053,"about_ca_topic_score_gemma":0.003984196,"domain_scores_codex":[0.9658172,0.01641274,0.01120403,0.002146906,0.003891725,0.0005272873],"domain_scores_gemma":[0.887167,0.09670904,0.01126133,0.001433088,0.002861937,0.0005676327],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.002545817,0.0001092596,0.00687186,0.5163394,0.05112911,0.0001103124,0.0002602101,0.001185994,0.0003510206,0.004949752,0.003825416,0.4123219],"study_design_scores_gemma":[0.00522153,0.001834027,0.02691496,0.594112,0.2668281,0.0008726997,0.0005779925,0.002102537,0.001077706,0.01815191,0.0820292,0.000277373],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001172831,0.9962689,0.000943268,0.0004967893,0.0001712941,0.0002505756,0.0003119484,0.00001158868,0.0003727712],"genre_scores_gemma":[0.05672415,0.9300069,0.007340658,0.002021063,0.0005427913,0.001738666,0.001403986,0.00001938055,0.0002023182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9626798,"threshold_uncertainty_score":0.1973705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6680120650786096,"score_gpt":0.5950120149626752,"score_spread":0.07300005011593436,"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."}}