{"id":"W4387312423","doi":"10.1038/s41575-023-00838-4","title":"Precision medicine in monogenic inflammatory bowel disease: proposed mIBD REPORT standards","year":2023,"lang":"en","type":"review","venue":"Nature Reviews Gastroenterology & Hepatology","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Celgene; Medical Research Council; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; ZonMw; Canadian Institutes of Health Research; IFM Therapeutics; UCB Pharma; Regeneron Pharmaceuticals; Gilead Sciences; Pfizer; Eli Lilly and Company","keywords":"Medicine; Observational study; Inflammatory bowel disease; Precision medicine; Intensive care medicine; Randomized controlled trial; Disease; Clinical trial; MEDLINE; Personalized medicine; Internal medicine; Bioinformatics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01461192,0.00108339,0.00323246,0.003007981,0.0005048763,0.003666855,0.002793039,0.004104519,0.004196507],"category_scores_gemma":[0.01230075,0.0005170748,0.001534054,0.002166995,0.002118188,0.003857846,0.00309004,0.005676334,0.002191033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281032,"about_ca_system_score_gemma":0.008555094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182878,"about_ca_topic_score_gemma":0.002468504,"domain_scores_codex":[0.996416,0.00116896,0.0006905898,0.0003654668,0.00109002,0.0002689209],"domain_scores_gemma":[0.9882983,0.006896302,0.0008972164,0.0004053116,0.003000459,0.0005022602],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000193593,0.00008278974,0.0002662864,0.02742784,0.0002722852,0.0002048563,0.0001402353,0.0005420602,0.0007749287,0.04614775,0.08879311,0.8351542],"study_design_scores_gemma":[0.00007558693,0.0001596021,0.0005869549,0.01961798,0.0002225294,0.0005004978,0.00007285698,0.0001729046,0.0003618751,0.01379588,0.9643933,0.00003994533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.00007651414,0.9874735,0.001071693,0.007117182,0.002232005,0.00003747575,0.00008412896,0.00002970964,0.001877828],"genre_scores_gemma":[0.001264069,0.9871498,0.002718456,0.005652879,0.002155673,0.0000932003,0.0001896927,0.000008805025,0.00076731],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9853881,"threshold_uncertainty_score":0.07727611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057076573429022,"score_gpt":0.3340662875243843,"score_spread":0.3134955217900941,"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."}}