{"id":"W2172519764","doi":"10.1111/apt.13460","title":"A validated web‐based tool to display individualised Crohn's disease predicted outcomes based on clinical, serologic and genetic variables","year":2015,"lang":"en","type":"article","venue":"Alimentary Pharmacology & Therapeutics","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Agency for Healthcare Research and Quality","keywords":"Medicine; Serology; Crohn's disease; Disease; Crohn disease; Internal medicine; Immunology; Antibody","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":[0.003312375,0.001403682,0.001211748,0.003914347,0.0001875986,0.001687506,0.0007657303,0.0009243023,0.02124857],"category_scores_gemma":[0.0173036,0.0003955122,0.001565272,0.00153453,0.0001970807,0.001065552,0.001355542,0.0009002545,0.003536992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837132,"about_ca_system_score_gemma":0.0006256471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955393,"about_ca_topic_score_gemma":0.00190785,"domain_scores_codex":[0.9986352,0.0006683213,0.0001951019,0.0002326533,0.0002099289,0.00005883171],"domain_scores_gemma":[0.9823005,0.01385854,0.001653901,0.000756764,0.001012115,0.00041827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008813702,0.001750436,0.4511638,0.001931568,0.001893131,0.0008528274,0.0007401773,0.04014896,0.005226952,0.003078524,0.05624675,0.4281532],"study_design_scores_gemma":[0.002229168,0.0029438,0.3592491,0.0006695953,0.001036004,0.001926263,0.0004091367,0.5876763,0.006584225,0.007922801,0.02895344,0.0004001655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5046653,0.001131109,0.301243,0.001853787,0.0003213212,0.002101763,0.1052879,0.07144797,0.01194795],"genre_scores_gemma":[0.8075894,0.0003901068,0.1603458,0.0003448434,0.0001133521,0.00205254,0.02447208,0.001140247,0.003551662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124857,"threshold_uncertainty_score":0.07108361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304942035667971,"score_gpt":0.3442491144141748,"score_spread":0.3011996940574951,"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."}}