{"id":"W4323350996","doi":"10.1093/jcag/gwac036.164","title":"A164 IDENTIFYING THE MOST IMPORTANT PREDICTORS TO CORRELATE SERUM METABOLITES WITH MRE CHANGES IN PATIENTS WITH PEDIATRIC CROHN DISEASE","year":2023,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Alberta","funders":"","keywords":"Disease; Metabolomics; Medicine; Crohn's disease; Inflammatory bowel disease; Pathogenesis; Internal medicine; Gold standard (test); Observational study; Gastroenterology; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001300032,0.0005301551,0.0005932731,0.001172746,0.0002957822,0.0007131355,0.0002670731,0.0003988316,0.001200519],"category_scores_gemma":[0.004151831,0.0001591633,0.0007573557,0.001210709,0.0001737006,0.0004291336,0.0004118361,0.0005202474,0.0001764101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303473,"about_ca_system_score_gemma":0.0006141947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587908,"about_ca_topic_score_gemma":0.002044819,"domain_scores_codex":[0.9994168,0.0001980004,0.00007642664,0.0001521873,0.00008381347,0.00007289385],"domain_scores_gemma":[0.9967396,0.001629685,0.0009657445,0.0001015205,0.0002398288,0.0003236413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004159682,0.00004496169,0.9939645,0.0000185124,0.00006480222,0.00007087133,0.00001874032,0.0004519804,0.000541701,0.00001379189,0.0001003561,0.004293815],"study_design_scores_gemma":[0.00002996638,0.0003679571,0.9894508,0.0000171459,0.0001426314,0.0002921982,0.0001150216,0.008545344,0.0007032597,0.00008862562,0.0002404231,0.000006672377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981443,0.0004015591,0.0008252508,0.00006419745,0.000005472694,0.00001328683,0.0003934514,0.00001332295,0.0001391892],"genre_scores_gemma":[0.9980863,0.00008186444,0.001307261,0.00001248632,0.000009149363,0.00001451602,0.0004340755,0.000002784528,0.00005163731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587908,"threshold_uncertainty_score":0.006875336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003532752395004227,"score_gpt":0.1899234745732552,"score_spread":0.186390722178251,"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."}}