{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388884,0.0002944267,0.0001908603,0.0005056876,0.0002431457,0.0003998953,0.0003072754,0.000380172,0.001595404],"category_scores_gemma":[0.001652306,0.0002126362,0.000375554,0.0006507579,0.0002084148,0.0001803381,0.0003557882,0.0002864559,0.0001429442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370869,"about_ca_system_score_gemma":0.0001193407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005163447,"about_ca_topic_score_gemma":0.005196081,"domain_scores_codex":[0.9997426,0.0001152909,0.00001254428,0.00006829364,0.00002404751,0.00003719724],"domain_scores_gemma":[0.9995074,0.0001325605,0.0002082294,0.00007515091,0.00002240477,0.00005420205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001453048,0.0000171065,0.9975612,0.000004668917,0.0001521198,0.00005762274,0.0000573156,0.0001035327,0.0005550283,0.00003573332,0.00005055485,0.001259871],"study_design_scores_gemma":[0.000005534458,0.00003740428,0.999064,0.000002435088,0.00004141081,0.000103741,0.00003761188,0.000543287,0.00004104543,0.00006377711,0.00005745365,0.000002332142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992119,0.0001222644,0.0002550761,0.00002544329,0.000002730863,0.000003679515,0.0002338347,0.000003076858,0.0001418704],"genre_scores_gemma":[0.999446,0.00003469508,0.0001277379,0.00001064532,0.000003429589,0.000006005826,0.0002356922,0.000001310877,0.0001344955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005163447,"threshold_uncertainty_score":0.01026684,"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."}}