{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005050579,0.0001020457,0.0001473463,0.00006911762,0.00001676547,0.00000240011,0.00005734208,0.00002747215,0.000001792152],"category_scores_gemma":[0.00001401892,0.00008339379,0.00001963912,0.00002199121,0.00006206738,0.000003154292,0.00005836252,0.00001221682,0.00000102876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937091,"about_ca_system_score_gemma":0.00004936272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007183715,"about_ca_topic_score_gemma":0.0001026532,"domain_scores_codex":[0.9993103,0.00004570033,0.0002176733,0.0001952215,0.00007622793,0.0001549058],"domain_scores_gemma":[0.999571,0.000002130334,0.00008798749,0.0001775291,0.00007230531,0.00008903972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003929547,0.0001328213,0.9948058,0.00004976379,0.00005873871,0.000009915659,0.0001479356,0.00003860716,0.0005578763,0.000006201517,0.000003493614,0.0002593644],"study_design_scores_gemma":[0.002224537,0.0008901668,0.9933298,0.0000353024,0.00002173495,6.741163e-7,0.00003352899,0.000008582407,0.003392563,3.709185e-7,0.00002158338,0.0000411222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993787,0.000003063143,0.0001857095,0.000008527575,0.00004495378,0.0003327409,0.00002900528,0.00000410339,0.00001313394],"genre_scores_gemma":[0.9990177,4.710135e-7,0.0008342328,0.00002362911,0.00001614321,0.00004959001,0.00004215504,0.000008909906,0.000007241757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002834686,"threshold_uncertainty_score":0.34007,"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."}}