{"id":"W4399386489","doi":"10.1093/eurpub/ckae096","title":"Educational inequalities in multimorbidity at older ages: a multi-generational population-based study","year":2024,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Commission; National Institute on Aging; Max-Planck-Gesellschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Inequality; Demography; Multimorbidity; Medicine; Confidence interval; Social inequality; Population; Gerontology; Older people; Environmental health","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":[0.002235878,0.0004465188,0.0003698611,0.00107424,0.0007943163,0.0009192931,0.0006224781,0.0008013414,0.001209451],"category_scores_gemma":[0.003207068,0.0004845402,0.001018409,0.001473051,0.0003840752,0.0007387189,0.001171626,0.001022418,0.0002893807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405542,"about_ca_system_score_gemma":0.0003928811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109312,"about_ca_topic_score_gemma":0.01979741,"domain_scores_codex":[0.9990425,0.0003593112,0.00007730874,0.0002392711,0.0001220861,0.0001595696],"domain_scores_gemma":[0.9981939,0.0003168764,0.0005560945,0.0004083931,0.0002199353,0.0003048673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007839147,0.00006526888,0.9980308,0.00001043582,0.000161894,0.00008671139,0.0004745189,0.00003707184,0.0001132398,0.00003179407,0.0001223265,0.0007875666],"study_design_scores_gemma":[0.000006308304,0.00007073834,0.9991713,0.000008843934,0.00005659618,0.00009915789,0.0002969443,0.0001377809,0.00001441618,0.0000258731,0.0001068157,0.000005241706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990281,0.0001386129,0.0001483852,0.00004119689,0.00000533953,0.00001805342,0.0004701465,0.000002393033,0.0001476411],"genre_scores_gemma":[0.9994113,0.00008850543,0.0001240308,0.00002918967,0.000007095769,0.00002002405,0.0002458088,0.00000154482,0.00007248958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109312,"threshold_uncertainty_score":0.04194069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2249772420294429,"score_gpt":0.420585020777103,"score_spread":0.1956077787476601,"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."}}