{"id":"W4403825428","doi":"10.1093/eurpub/ckae144.628","title":"Future patterns of health inequalities in the population of England to 2040: a microsimulation study","year":2024,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Microsimulation; Inequality; Health Survey for England; Demography; Population; Geography; Demographic economics; Environmental health; Economics; Medicine; Sociology; Mathematics; Transport engineering; Engineering","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":[0.002206411,0.0003724529,0.0005617766,0.0005276011,0.0003811569,0.0008319034,0.00125898,0.0008577993,0.003586443],"category_scores_gemma":[0.008155392,0.0004040121,0.001497631,0.0008365326,0.0004220254,0.001019096,0.001502374,0.001063154,0.0004291371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503663,"about_ca_system_score_gemma":0.001097993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1080828,"about_ca_topic_score_gemma":0.06162572,"domain_scores_codex":[0.9991083,0.0004776029,0.00005324121,0.0001326859,0.00004615568,0.0001819838],"domain_scores_gemma":[0.9968787,0.001388238,0.0005218642,0.0005068736,0.0004085234,0.000295808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009133613,0.0006229504,0.6761932,0.0002108141,0.001375791,0.0008441143,0.001736799,0.2897205,0.0006602752,0.01113371,0.006232924,0.01035557],"study_design_scores_gemma":[0.0001712078,0.0006989974,0.3471423,0.0001123138,0.0002975072,0.0002247575,0.002460207,0.6371703,0.0004798289,0.006579917,0.004562326,0.0001002575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928399,0.00008608485,0.003053161,0.0004429119,0.00001881191,0.000059933,0.002909016,0.00002482871,0.0005652498],"genre_scores_gemma":[0.9953099,0.00004904637,0.001133786,0.00008517825,0.000008038643,0.0001246579,0.002637133,0.000006220804,0.0006460636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080828,"threshold_uncertainty_score":0.2149075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2800271388406052,"score_gpt":0.437266834402106,"score_spread":0.1572396955615008,"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."}}