{"id":"W4312104699","doi":"10.1093/geroni/igac059.559","title":"POPULATION TRENDS IN HEALTHCARE USE BY MEXICAN ADULTS AGED 60 AND OLDER WITH AND WITHOUT COGNITIVE IMPAIRMENT","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Odds ratio; Odds; Context (archaeology); Population; Gerontology; Cognition; Health care; Cognitive impairment; Outpatient clinic; Montreal Cognitive Assessment; Demography; Logistic regression; Psychiatry; Environmental health; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204728,0.0000960497,0.0001845614,0.0003876832,0.0001190188,0.00001498888,0.00001505335,0.00002851347,0.00002352888],"category_scores_gemma":[0.00004991641,0.00009053794,0.000005876687,0.001056191,0.00004055924,0.0001439088,0.00002649936,0.0002749786,8.275362e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203715,"about_ca_system_score_gemma":0.00004403415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008723528,"about_ca_topic_score_gemma":0.001451239,"domain_scores_codex":[0.9988815,0.0001092469,0.0003532825,0.0002795587,0.000205748,0.0001707322],"domain_scores_gemma":[0.9996384,0.00003870641,0.0001214639,0.00008549669,0.00007041447,0.00004555775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004180103,0.0001043842,0.979844,0.0001172217,0.000004219805,0.000005322474,0.006363887,0.000004140049,0.00002081502,0.0001345323,0.00006528135,0.01291821],"study_design_scores_gemma":[0.003651651,0.0002239363,0.9910491,0.0002049692,0.00000630747,0.00001735155,0.004084166,0.0005267058,0.00001624608,0.0001042357,0.00002485232,0.00009051433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942706,0.00008992319,0.00005383445,0.005052257,0.0000284131,0.0004142665,0.00001946194,0.00002787352,0.00004335405],"genre_scores_gemma":[0.9973776,0.00000787995,0.0001520853,0.001884471,0.00001749815,0.00007758365,0.0004031279,0.0000116939,0.00006799791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282769,"threshold_uncertainty_score":0.9978775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233071101119834,"score_gpt":0.3310543298329676,"score_spread":0.3077472197209842,"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."}}