{"id":"W4414769513","doi":"10.1101/2025.09.30.679671","title":"Neuroanatomical features reveal accelerated brain age in alcohol use disorder","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neurotransmitter Receptor Influence on Behavior","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SUNY Downstate Medical Center; National Institutes of Health; National Institute on Alcohol Abuse and Alcoholism; York University; State University of New York","keywords":"Alcohol use disorder; Alcohol; Neuroimaging; Brain aging; Central nervous system; Age of onset; Alcohol consumption","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260415,0.000181088,0.000141645,0.0008142662,0.000182424,0.0002180127,0.0001132932,0.0001767746,0.001310718],"category_scores_gemma":[0.000530644,0.0001393222,0.0001699233,0.0003847307,0.0001950524,0.000185363,0.0002991214,0.0002286357,0.0001565623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543216,"about_ca_system_score_gemma":0.0001409465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002754404,"about_ca_topic_score_gemma":0.005852665,"domain_scores_codex":[0.9999497,0.00001147491,0.000006081683,0.00001271744,0.000009624655,0.00001034467],"domain_scores_gemma":[0.9995878,0.00006786932,0.0002279571,0.00002123408,0.00004241806,0.00005264614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000237095,0.00004053177,0.9881603,0.00001689772,0.00004726188,0.0003200219,0.0001332814,0.0001670287,0.005867203,0.00003927781,0.00006423473,0.00490704],"study_design_scores_gemma":[9.981586e-7,0.00003718825,0.9990245,0.000001810585,0.000006544764,0.0003710329,0.00005254692,0.0001993189,0.0002341452,0.00003349946,0.00003754156,9.455099e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995494,0.00006624389,0.0001462012,0.000006580581,8.748165e-7,0.000003819048,0.00006448555,0.000003729196,0.0001585436],"genre_scores_gemma":[0.9993755,0.00005928329,0.0003174994,0.000006122786,0.000002226927,0.000004559624,0.00009571348,0.000001678595,0.0001375052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002754404,"threshold_uncertainty_score":0.005476713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212145237845683,"score_gpt":0.2867388203023393,"score_spread":0.2446173679238824,"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."}}