{"id":"W4389903281","doi":"10.1016/j.cgh.2023.12.006","title":"Development of an MRI-Based Prediction Model for Anti-TNF Treatment Failure in Perianal Crohn’s Disease: A Multicenter Study","year":2023,"lang":"en","type":"article","venue":"Clinical Gastroenterology and Hepatology","topic":"Anorectal Disease Treatments and Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McGill University Health Centre; University of British Columbia Hospital; University of Ottawa; McGill University; Ottawa Hospital","funders":"Pfizer","keywords":"Medicine; Crohn's disease; Disease; Multicenter study; Magnetic resonance imaging; Internal medicine; Crohn disease; Radiology; Gastroenterology; Randomized controlled trial","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":[0.01502511,0.001779502,0.00194943,0.001162214,0.0006651671,0.001764089,0.001490515,0.001133241,0.001500602],"category_scores_gemma":[0.01825683,0.0005658692,0.002213791,0.0009164311,0.0004023665,0.001267817,0.001199258,0.001661695,0.0003396693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090062,"about_ca_system_score_gemma":0.001315618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005222493,"about_ca_topic_score_gemma":0.003114536,"domain_scores_codex":[0.996965,0.001919823,0.0001839275,0.0005438026,0.0001971731,0.0001902096],"domain_scores_gemma":[0.9913919,0.004325176,0.001294347,0.0009122383,0.001386969,0.0006893061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01260934,0.003256662,0.9400434,0.0001072824,0.003877115,0.0002286778,0.0002125675,0.01187806,0.001130443,0.000227961,0.002666502,0.02376194],"study_design_scores_gemma":[0.003687063,0.009724789,0.5585266,0.0001115759,0.005887988,0.0007911365,0.0008963473,0.4158474,0.001338704,0.0008594337,0.002205474,0.0001235023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926434,0.00026644,0.005060451,0.0002919717,0.00006564388,0.0002304617,0.001091417,0.00003833761,0.000311845],"genre_scores_gemma":[0.9924608,0.0001202044,0.004261459,0.00008864381,0.00006984837,0.0002435294,0.002566465,0.00001847505,0.0001705616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01502511,"threshold_uncertainty_score":0.07946134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06050420200876917,"score_gpt":0.3767100681259913,"score_spread":0.3162058661172221,"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."}}