{"id":"W4206900562","doi":"10.1093/ecco-jcc/jjab232.118","title":"DOP79 Biomarkers for IBD using OLINK Proteomics inflammation panel: Preliminary results from the COLLIBRI consortium","year":2022,"lang":"en","type":"article","venue":"Journal of Crohn s and Colitis","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Biomarker; Multiplex; Inflammatory bowel disease; Ulcerative colitis; Proteomics; Disease; Medicine; Internal medicine; Crohn's disease; Pathogenesis; Immunology; Computational biology; Bioinformatics; Biology; Genetics; Gene","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":[0.01236773,0.001935012,0.001332845,0.001936235,0.0007602996,0.002643499,0.001183085,0.001431562,0.001697491],"category_scores_gemma":[0.007891716,0.0003502,0.001042441,0.001842565,0.0005297435,0.0006355997,0.003679769,0.0009531653,0.001208498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009489987,"about_ca_system_score_gemma":0.001285395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488574,"about_ca_topic_score_gemma":0.001865375,"domain_scores_codex":[0.9940073,0.002423258,0.0003831038,0.001255995,0.001430319,0.0004999319],"domain_scores_gemma":[0.9936522,0.00134364,0.0008493399,0.0008321143,0.001910743,0.001411959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03406998,0.003167346,0.6555222,0.001927106,0.004007574,0.001183487,0.00113394,0.003742819,0.08632519,0.0006874777,0.02367643,0.1845564],"study_design_scores_gemma":[0.002658783,0.006887985,0.9170524,0.0005985009,0.002357553,0.00216323,0.0006788129,0.006287439,0.02382755,0.0008247754,0.03644922,0.0002137712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331985,0.01729845,0.008375502,0.002127495,0.000210611,0.0008854598,0.03197388,0.0005254112,0.005404717],"genre_scores_gemma":[0.820911,0.004720181,0.02308754,0.002312791,0.0005020339,0.001717919,0.1435043,0.0003032727,0.002941038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236773,"threshold_uncertainty_score":0.06540757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866573847945372,"score_gpt":0.2475467017098842,"score_spread":0.2288809632304304,"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."}}