{"id":"W2805227055","doi":"10.1053/j.gastro.2018.05.039","title":"Development and Validation of a Scoring System to Predict Outcomes of Vedolizumab Treatment in Patients With Crohn’s Disease","year":2018,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McMaster University Medical Centre; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation","keywords":"Vedolizumab; Medicine; Crohn's disease; Internal medicine; Cohort; Ulcerative colitis; Logistic regression; Inflammatory bowel disease; Receiver operating characteristic; Gastroenterology; Clinical trial; Retrospective cohort study; Disease","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":[0.008048222,0.0006252233,0.0009078818,0.002307293,0.0004658989,0.001899071,0.000659763,0.0007280785,0.0006489241],"category_scores_gemma":[0.01198539,0.000241337,0.0008374382,0.001034378,0.0004140709,0.0008407123,0.001035664,0.0008649841,0.0003241975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007500841,"about_ca_system_score_gemma":0.0008826232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336658,"about_ca_topic_score_gemma":0.001910504,"domain_scores_codex":[0.9963812,0.001470144,0.0006483757,0.0002710925,0.0009576165,0.0002715976],"domain_scores_gemma":[0.9920971,0.003107149,0.001550854,0.0004443828,0.002417479,0.0003830049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001367336,0.0003769442,0.9217147,0.00009212399,0.0003908981,0.00008847286,0.0001699274,0.001567841,0.002457725,0.0002969692,0.001582166,0.06989489],"study_design_scores_gemma":[0.0004957971,0.002152907,0.941792,0.0001705438,0.0005566382,0.0007765145,0.000499394,0.04362607,0.004297871,0.0007599936,0.004806964,0.00006527659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876335,0.001039291,0.006847742,0.0003988695,0.0001422252,0.0003077984,0.000743153,0.00006871993,0.002818792],"genre_scores_gemma":[0.9893008,0.0002517909,0.008451166,0.00008512378,0.00005407392,0.000213378,0.001240374,0.00001300902,0.0003902223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008048222,"threshold_uncertainty_score":0.04256356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005696123018126675,"score_gpt":0.2120795151879783,"score_spread":0.2063833921698516,"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."}}