{"id":"W4309912772","doi":"10.1101/2022.11.21.517399","title":"Anti-integrin αvβ6 autoantibodies are a novel predictive biomarker in ulcerative colitis","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Kenneth Rainin Foundation; Crohn's and Colitis Canada; Canadian Institutes of Health Research; Leona M. and Harry B. Helmsley Charitable Trust; Janssen Pharmaceuticals; Genentech; Canadian Association of Gastroenterology; Amgen","keywords":"Medicine; Ulcerative colitis; Internal medicine; Autoantibody; Cohort; Biomarker; Gastroenterology; Proportional hazards model; Inflammatory bowel disease; Antibody; Disease; Immunology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008416329,0.0005712501,0.0004070288,0.000891522,0.0002307517,0.001179333,0.0003645616,0.0006330289,0.001048569],"category_scores_gemma":[0.002026374,0.0002228118,0.0003776988,0.0008886991,0.0001979557,0.0004355737,0.0003408177,0.000634188,0.0003399392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233721,"about_ca_system_score_gemma":0.0001428653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009159052,"about_ca_topic_score_gemma":0.0009624038,"domain_scores_codex":[0.9995341,0.0001472973,0.00003979338,0.0001012725,0.0001202116,0.00005725221],"domain_scores_gemma":[0.9983815,0.0003888709,0.0007522165,0.00009017267,0.000217895,0.0001693153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005026954,0.00004090466,0.9881882,0.00003095893,0.00007757197,0.00009211022,0.00002131265,0.0004011003,0.002850512,0.00002703138,0.00019164,0.007576004],"study_design_scores_gemma":[0.00002146126,0.0003287812,0.9906114,0.00003253041,0.0001020165,0.0009661399,0.0000938162,0.004532867,0.002110001,0.0002020868,0.0009890085,0.000009995729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994444,0.003463832,0.000710144,0.0001216198,0.00003114894,0.000008973984,0.000326963,0.00003491255,0.0008585007],"genre_scores_gemma":[0.9984798,0.0004858948,0.0005046295,0.00002404996,0.00003463402,0.000003914432,0.000260032,0.00000292607,0.0002041178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001179333,"threshold_uncertainty_score":0.004451036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228092475483766,"score_gpt":0.2337712919425782,"score_spread":0.2214903671877406,"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."}}