{"id":"W4393164917","doi":"10.4093/dmj.2023.0039","title":"Biologically Informed Polygenic Scores for Brain Insulin Receptor Network Are Associated with Cardiometabolic Risk Markers and Diabetes in Women","year":2024,"lang":"en","type":"article","venue":"Diabetes & Metabolism Journal","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Horizon 2020 Framework Programme; Canadian Institutes of Health Research; Sigrid Juséliuksen Säätiö; Sydäntutkimussäätiö; Samfundet Folkhälsan; Finska Läkaresällskapet; Juho Vainion Säätiö; European Commission; Novo Nordisk; Signe ja Ane Gyllenbergin Säätiö; Foundation for Cardiovascular Research","keywords":"Medicine; Diabetes mellitus; Polygenic risk score; Insulin; Internal medicine; Bioinformatics; Endocrinology; Genetics; Gene; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002887278,0.0004429722,0.0009636636,0.0005882314,0.0005455554,0.000484535,0.0003223222,0.0001728428,0.00005237487],"category_scores_gemma":[0.03235973,0.0003200606,0.0002130503,0.001696721,0.0003716687,0.0006194201,0.0001666318,0.0008198376,0.00001286427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937562,"about_ca_system_score_gemma":0.0001833866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004589876,"about_ca_topic_score_gemma":0.00002907709,"domain_scores_codex":[0.9961358,0.000784612,0.0005956508,0.0006913874,0.0004751077,0.001317481],"domain_scores_gemma":[0.984329,0.01469065,0.0003786373,0.0001971909,0.0001365222,0.000267988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001056349,0.0002199539,0.8736994,0.0001972294,0.001886629,0.00003794053,0.0014947,0.001578747,0.0187302,0.0008943752,0.02777165,0.07243278],"study_design_scores_gemma":[0.002298488,0.0004251061,0.9277068,0.0004226457,0.0001569655,0.000009016075,0.0003089966,0.001493785,0.001290368,0.004722777,0.06049708,0.0006679452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812759,0.01349959,0.00002676375,0.002855836,0.00131924,0.000529465,0.0002953321,0.0001306832,0.00006722919],"genre_scores_gemma":[0.9916726,0.002963687,0.0003276317,0.00370107,0.0008682875,0.00027285,0.000007673607,0.00006090502,0.0001252778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07176483,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430024477252964,"score_gpt":0.2343408065435115,"score_spread":0.2200405617709819,"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."}}