{"id":"W4386386305","doi":"10.1093/jcag/gwad024","title":"Biomarkers That Predict Crohn’s Disease Outcomes","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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Disease; Medicine; Pharmacogenomics; Biomarker; Crohn's disease; Biomarker discovery; Inflammatory bowel disease; Thiopurine methyltransferase; Procalcitonin; Intensive care medicine; Bioinformatics; Internal medicine; Proteomics; Biology; Sepsis","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":[0.001488411,0.0007463137,0.0012094,0.00208125,0.0003198442,0.001691265,0.0002958412,0.001124758,0.002098021],"category_scores_gemma":[0.005553758,0.0002603393,0.000855458,0.002237047,0.0003877878,0.0007693194,0.0006253029,0.001283519,0.0006072593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005948069,"about_ca_system_score_gemma":0.0006362582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042881,"about_ca_topic_score_gemma":0.002547092,"domain_scores_codex":[0.9990906,0.0002566969,0.000149826,0.0001478747,0.000239092,0.0001160048],"domain_scores_gemma":[0.9973271,0.0008646452,0.0008746276,0.00008607947,0.0006237884,0.0002236478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002208991,0.0002018496,0.7691598,0.002670891,0.001492078,0.0006090646,0.0002033299,0.001412113,0.00377893,0.001074755,0.0124763,0.2047119],"study_design_scores_gemma":[0.0001861994,0.0008113,0.927919,0.002615081,0.002329866,0.002472807,0.0004701814,0.003399218,0.00265911,0.004368135,0.05264204,0.0001269167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3933799,0.5732747,0.005028605,0.008734136,0.00147096,0.0001607682,0.006523523,0.000211473,0.01121598],"genre_scores_gemma":[0.8718015,0.1122889,0.006416613,0.001683889,0.001247458,0.0001409968,0.004421549,0.00003186674,0.001967322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002098021,"threshold_uncertainty_score":0.007871568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143395923844056,"score_gpt":0.2191102754655302,"score_spread":0.2119668795416861,"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."}}