{"id":"W1973367631","doi":"10.1111/j.1530-0277.2006.00118.x","title":"Both Global Gray Matter Volume and Regional Gray Matter Volume Negatively Correlate with Lifetime Alcohol Intake in Non–Alcohol‐Dependent Japanese Men: A Volumetric Analysis and a Voxel‐Based Morphometry","year":2006,"lang":"en","type":"article","venue":"Alcoholism Clinical and Experimental Research","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Atrophy; Gray (unit); Voxel; Alcohol; Alcohol intake; Magnetic resonance imaging; Voxel-based morphometry; Brain size; White matter; Nuclear medicine; Medicine; Psychology; Internal medicine; Chemistry; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00273255,0.0006098361,0.001468543,0.001492749,0.0004385602,0.000263249,0.000249345,0.0005388235,0.001550835],"category_scores_gemma":[0.0001655936,0.000490093,0.0002577883,0.002859924,0.002133763,0.000326282,0.0003984507,0.001461634,0.0004984226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888146,"about_ca_system_score_gemma":0.0002342213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824692,"about_ca_topic_score_gemma":0.0002959439,"domain_scores_codex":[0.9933107,0.0008380434,0.00133301,0.001640288,0.00157732,0.001300593],"domain_scores_gemma":[0.9968818,0.0007750935,0.0002632225,0.0006182402,0.0002665469,0.001195089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003157753,0.001141747,0.9755172,0.0001645722,0.0003755122,0.0003386661,0.0003224319,0.000007476927,0.0007031267,0.00002003273,0.01763877,0.0006126833],"study_design_scores_gemma":[0.01185936,0.001323883,0.9773192,0.0002119965,0.0003271273,0.000219608,0.0005894019,0.006296084,0.0001375834,0.00004026454,0.001157665,0.0005178497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877816,0.003806477,0.00007756177,0.004913281,0.00009378247,0.001636794,0.00006096029,0.00005043503,0.001579069],"genre_scores_gemma":[0.9877635,0.0002735159,0.0007341657,0.005236324,0.0002250217,0.0002748223,0.0001309206,0.00006581753,0.005295955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648111,"threshold_uncertainty_score":0.9997551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09033916257266647,"score_gpt":0.4342393771674941,"score_spread":0.3439002145948277,"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."}}