{"id":"W1486077835","doi":"10.1111/j.1532-5415.2009.02541.x","title":"Assessing Quitter Effects: Disaggregating Current Nondrinkers","year":2009,"lang":"en","type":"letter","venue":"Journal of the American Geriatrics Society","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Centre for Addiction and Mental Health","keywords":"Medicine; Alcohol consumption; Gerontology; Demography; Alcohol; Environmental health","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":[0.03648997,0.001015592,0.001514012,0.002052026,0.0006753554,0.002318813,0.003450158,0.006200548,0.004153783],"category_scores_gemma":[0.1839381,0.000589046,0.001976561,0.002138296,0.0007956298,0.001640615,0.00117586,0.0043102,0.0008658961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009443451,"about_ca_system_score_gemma":0.001708664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023112,"about_ca_topic_score_gemma":0.01350777,"domain_scores_codex":[0.9840055,0.009984889,0.001673335,0.001445878,0.002512656,0.0003778292],"domain_scores_gemma":[0.8810105,0.0927541,0.009433419,0.003323242,0.0111369,0.002341913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001178732,0.0002256242,0.1272265,0.003135606,0.004710518,0.0006539497,0.0005211895,0.0008140888,0.0001731303,0.001255871,0.7581662,0.1019386],"study_design_scores_gemma":[0.001329961,0.00110514,0.4312651,0.006671614,0.01310614,0.001866344,0.001373957,0.01251203,0.001057096,0.01119654,0.5181413,0.0003748614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05518253,0.1221378,0.006678538,0.667873,0.130526,0.0002790665,0.01235864,0.0002728214,0.004691476],"genre_scores_gemma":[0.2804499,0.02612937,0.00684496,0.3481988,0.3299961,0.0004098431,0.002964501,0.00029253,0.004714056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03648997,"threshold_uncertainty_score":0.1929797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05854436955964012,"score_gpt":0.3958266944621936,"score_spread":0.3372823249025535,"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."}}