{"id":"W4387372493","doi":"10.1002/ana.26811","title":"<scp>DNA</scp> Methylation Age Acceleration as a Potential Biomarker for Early Onset of <scp>Rapid Eye Movement</scp> Sleep Behavior Disorder","year":2023,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Toronto Western Hospital; Hôpital du Sacré-Cœur de Montréal; McGill University; Montreal Neurological Institute and Hospital; University of Toronto; Occupational Cancer Research Centre","funders":"Fonds de Recherche du Québec - Santé; Canada First Research Excellence Fund; Consortium canadien en neurodégénérescence associée au vieillissement; McGill University","keywords":"dNaM; Epigenetics; Biomarker; DNA methylation; Hazard ratio; Confidence interval; Proportional hazards model; Internal medicine; Oncology; Medicine; Bioinformatics; Psychology; Genetics; Biology; Gene","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":[0.0003830197,0.0002108754,0.0002264929,0.000422492,0.0001287102,0.0003087731,0.0001831948,0.0002656567,0.001449245],"category_scores_gemma":[0.0008238464,0.00008123112,0.0001854528,0.0003959126,0.0001671581,0.0001592562,0.0001512196,0.0003230876,0.0001953813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134135,"about_ca_system_score_gemma":0.0002219975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985403,"about_ca_topic_score_gemma":0.003658496,"domain_scores_codex":[0.9998727,0.00004907519,0.000008780591,0.00003461282,0.00002171616,0.00001306516],"domain_scores_gemma":[0.9995172,0.0001528167,0.0001876117,0.0000301149,0.00004885698,0.00006334091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001233232,0.00005953365,0.9368836,0.00005725798,0.0001540248,0.0003655998,0.00009289935,0.0003062752,0.03754483,0.000153483,0.0003648586,0.02278424],"study_design_scores_gemma":[0.000006711547,0.0001499823,0.9948265,0.000007421817,0.0000518214,0.000371707,0.00003388918,0.001062294,0.00296693,0.0001516708,0.0003672759,0.000003839641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964097,0.001222381,0.0007834674,0.0001709324,0.00001491451,0.000007372523,0.0003459924,0.0000214176,0.001023791],"genre_scores_gemma":[0.9986843,0.0002150775,0.0004688,0.00003876843,0.00001501871,0.000004297752,0.0001588571,0.000002687474,0.0004121138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001985403,"threshold_uncertainty_score":0.004848242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219880432153356,"score_gpt":0.3270002133496914,"score_spread":0.2848014090281579,"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."}}