{"id":"W2911228313","doi":"10.1172/jci.insight.123879","title":"Treg gene signatures predict and measure type 1 diabetes trajectory","year":2019,"lang":"en","type":"article","venue":"JCI Insight","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Toronto; Prevention of Organ Failure; BC Children's Hospital","funders":"National Institutes of Health; Immune Tolerance Network; BC Children's Hospital; Juvenile Diabetes Research Foundation United States of America; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Pfizer; Bristol-Myers Squibb","keywords":"Biomarker; Immunotherapy; Type 1 diabetes; Gene signature; Medicine; Diabetes mellitus; Immune system; Type 2 diabetes; Immunology; Gene; Signature (topology); Oncology; Bioinformatics; Computational biology; Internal medicine; Biology; Gene expression; Endocrinology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001332169,0.0005040694,0.0005399329,0.001432298,0.0001889513,0.0009067881,0.0002700185,0.0004560604,0.001341071],"category_scores_gemma":[0.00175736,0.0001843536,0.0005011741,0.0008233802,0.0002336445,0.0002761853,0.0004124982,0.0007950883,0.0003873371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383792,"about_ca_system_score_gemma":0.0002629616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007609802,"about_ca_topic_score_gemma":0.001112622,"domain_scores_codex":[0.9995809,0.00009790204,0.00002736047,0.000155782,0.00008675468,0.00005119581],"domain_scores_gemma":[0.9987048,0.000441386,0.0004397462,0.0001057105,0.0001684148,0.0001398775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001514512,0.0001352032,0.9477113,0.00008382686,0.000227804,0.00006399705,0.00007103135,0.002663888,0.01635984,0.0001297044,0.0007491756,0.03028967],"study_design_scores_gemma":[0.00009403619,0.001179287,0.9458016,0.00009767926,0.0004575086,0.0006907229,0.0002266338,0.03046959,0.01682154,0.001538533,0.0025743,0.00004866052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986446,0.001420642,0.007679434,0.0001226797,0.0000443239,0.00008342463,0.002673773,0.0002143361,0.001315461],"genre_scores_gemma":[0.9864495,0.0004527418,0.01005096,0.0001615756,0.00003234124,0.0000740186,0.002266183,0.00003511415,0.0004775991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001432298,"threshold_uncertainty_score":0.007045269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004202438066666239,"score_gpt":0.1874355535367867,"score_spread":0.1832331154701205,"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."}}