{"id":"W4392925879","doi":"10.1111/add.16469","title":"Trends in substance use and related harms among older adults in high‐income countries","year":2024,"lang":"en","type":"letter","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Seqirus","keywords":"Life expectancy; Baby boomers; Gerontology; Demography; Population; Medicine; Baby boom; Harm; Cohort; Generation x; Psychology; Environmental health; Sociology; Demographic economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007806114,0.0001485704,0.000299519,0.001246106,0.000407397,0.0008741128,0.0003627989,0.000902239,0.002742301],"category_scores_gemma":[0.002723966,0.0002034949,0.0006599535,0.001959154,0.0003511236,0.001669726,0.0007937148,0.001133469,0.000556174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704119,"about_ca_system_score_gemma":0.0008277048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291981,"about_ca_topic_score_gemma":0.02852637,"domain_scores_codex":[0.9995083,0.00007268421,0.0001209715,0.0001120374,0.00008512098,0.000101054],"domain_scores_gemma":[0.9979967,0.0001651133,0.0009918533,0.00007758068,0.000460688,0.0003079991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173337,0.00005422742,0.9589604,0.0007944921,0.0001872548,0.0001808144,0.001886589,0.0001802387,0.0003438986,0.000964689,0.009879611,0.02645045],"study_design_scores_gemma":[0.000003246651,0.00005868481,0.9932845,0.0002887884,0.00003535853,0.0002180197,0.001145651,0.00006592349,0.00004724244,0.00008971821,0.004752423,0.00001047649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240442,0.03897196,0.0003723015,0.01218742,0.0004189866,0.00004344563,0.0175071,0.00007879661,0.006375806],"genre_scores_gemma":[0.9613092,0.02715202,0.0005911007,0.002894251,0.00038027,0.00005640454,0.006214528,0.000017798,0.001384456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02291981,"threshold_uncertainty_score":0.04557282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038617133991696,"score_gpt":0.2360609349734018,"score_spread":0.2256747636334848,"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."}}