{"id":"W2962803899","doi":"10.1053/j.gastro.2019.07.027","title":"Development and Validation of a Magnetic Resonance Index for Assessing Fistulas in Patients With Crohn’s Disease","year":2019,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Anorectal Disease Treatments and Outcomes","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"UCB Pharma; Janssen Pharmaceuticals; AbbVie Canada; Takeda Canada; Allergan; Genentech; Boehringer Ingelheim; Atlantic Healthcare; Bristol-Myers Squibb; Akebia Therapeutics; Pfizer; Covidien; UCB; Chiesi Farmaceutici; Shire; Sandoz; Ferring; Celgene; Teva Pharmaceutical Industries; AbbVie; Merck; GlaxoSmithKline; Dr. Falk Pharma; Vifor Pharma; Gilead Sciences; Tillotts Pharma","keywords":"Intraclass correlation; Magnetic resonance imaging; Medicine; Confidence interval; Nuclear medicine; Correlation; Statistics; Internal medicine; Radiology; Mathematics; Psychometrics","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":[],"consensus_categories":[],"category_scores_codex":[0.008047525,0.0005769226,0.0007640779,0.002235266,0.000577276,0.00218126,0.0009064258,0.001225605,0.0007132603],"category_scores_gemma":[0.01946565,0.0003827087,0.0008226191,0.0009755145,0.0007075138,0.001432147,0.001482423,0.001189084,0.0003364102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007788014,"about_ca_system_score_gemma":0.001443313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661117,"about_ca_topic_score_gemma":0.002573514,"domain_scores_codex":[0.995965,0.00144682,0.0007201107,0.0004584869,0.00108211,0.0003275449],"domain_scores_gemma":[0.9897671,0.003503486,0.002141987,0.0007424626,0.003335499,0.000509492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006080898,0.0007875231,0.9542532,0.0001242837,0.0001969893,0.0001112185,0.0004669984,0.0003733264,0.00276531,0.0002242783,0.000930778,0.03915817],"study_design_scores_gemma":[0.0002474732,0.002207613,0.9809122,0.0002092173,0.0002400572,0.0009349044,0.000847369,0.006387922,0.003524827,0.0003703322,0.004077301,0.00004081896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901542,0.001173976,0.003850075,0.0005382176,0.0001628411,0.000565221,0.0004194556,0.00004204419,0.003093795],"genre_scores_gemma":[0.9874322,0.0003381144,0.01046244,0.0002389058,0.00007856159,0.0003432778,0.0006595228,0.00001668779,0.0004303773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008047525,"threshold_uncertainty_score":0.04255986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007864498156068671,"score_gpt":0.2415274148380907,"score_spread":0.233662916682022,"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."}}