{"id":"W4412105120","doi":"10.1016/j.ajhg.2025.06.009","title":"Cross-omics risk scores of inflammation markers are associated with all-cause mortality: The Canadian Longitudinal Study on Aging","year":2025,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"National Institute of General Medical Sciences; National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Canada Foundation for Innovation","keywords":"Inflammation; Omics; Medicine; Gerontology; Bioinformatics; Internal medicine; Biology","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":[0.002038357,0.001114185,0.0009245353,0.001690877,0.002354252,0.001863653,0.001202714,0.001035272,0.002647334],"category_scores_gemma":[0.004182852,0.0005763472,0.00176029,0.004385698,0.0005120148,0.0005613177,0.001601134,0.001836785,0.0002379164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004469797,"about_ca_system_score_gemma":0.009683294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9090014,"about_ca_topic_score_gemma":0.946968,"domain_scores_codex":[0.9984377,0.0002745875,0.0001256297,0.0003658418,0.0004016124,0.0003946171],"domain_scores_gemma":[0.9970542,0.0002299802,0.0005797504,0.0003818604,0.001196592,0.0005575501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002782266,0.00002981571,0.992554,0.00003153693,0.0009470021,0.00005053443,0.0002211813,0.0001174152,0.0002826261,0.0002178125,0.001878442,0.003391394],"study_design_scores_gemma":[0.00001435002,0.00001388505,0.9983547,0.00001950031,0.0002629388,0.00003477414,0.0001664944,0.0001785545,0.00003803711,0.00009641049,0.0008074904,0.00001269474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760142,0.004914938,0.0006118041,0.001547787,0.0001708981,0.00004054645,0.01397356,0.00004944392,0.002676798],"genre_scores_gemma":[0.990831,0.001606191,0.000859199,0.0003228997,0.00006252066,0.00003709759,0.004767029,0.000023588,0.001490511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09099865,"threshold_uncertainty_score":0.1830691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433747740802707,"score_gpt":0.3456978859097657,"score_spread":0.302323111829495,"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."}}