{"id":"W2894884164","doi":"10.3389/fnagi.2018.00296","title":"Alzheimer’s Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers","year":2018,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Women and Children’s Health Research Institute","funders":"National Institute on Aging; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Alberta Innovates; Canada Research Chairs; Canadian Institutes of Health Research; Genome Canada; Alzheimer Society; Consortium canadien en neurodégénérescence associée au vieillissement; Sanofi","keywords":"Cognition; Disease; Medicine; Biomarker; Neuropsychology; Metabolomics; Cognitive decline; Modalities; Dementia; Bioinformatics; Clinical psychology; Psychology; Internal medicine; Psychiatry; Biology; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008517644,0.0002559784,0.0004488525,0.0002194279,0.0002587467,0.00002807309,0.0001979235,0.0001000201,0.000002144871],"category_scores_gemma":[0.001500229,0.0002476503,0.0001067014,0.0004752335,0.001719996,0.0000303372,0.0002290329,0.0002327758,2.426972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693088,"about_ca_system_score_gemma":0.0002172437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000329631,"about_ca_topic_score_gemma":0.0001183527,"domain_scores_codex":[0.9972115,0.0005468872,0.0005892924,0.0009190348,0.0002276205,0.0005056206],"domain_scores_gemma":[0.9987567,0.0001825548,0.0004864601,0.000248704,0.0001246512,0.0002009387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003886825,0.00007468399,0.9888239,0.000009311263,0.0002026539,0.000002140358,0.0002290205,0.000006017547,0.005967106,0.00002906102,0.0007254494,0.003541962],"study_design_scores_gemma":[0.000932916,0.0004876737,0.9906813,0.00002733828,0.00009506797,0.000003487955,0.001146543,0.002110347,0.002659001,0.0008528179,0.0007466037,0.0002569365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474012,0.01358212,0.03707274,0.0001114826,0.00108409,0.0002868028,0.0003800143,0.00001383179,0.00006772074],"genre_scores_gemma":[0.957634,0.01774167,0.02390632,0.0005091394,0.0001038802,0.00001692054,0.0000430786,0.00002365927,0.00002131416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316642,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323133838431342,"score_gpt":0.2925105088958222,"score_spread":0.2592791705115088,"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."}}