{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004479113,0.0001964883,0.0002308124,0.001067866,0.0002564342,0.0005470985,0.0003343133,0.0002747594,0.001456749],"category_scores_gemma":[0.001293061,0.0001711808,0.0005247016,0.001539783,0.0001064383,0.0003896193,0.0003557692,0.0004089935,0.0001649198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708206,"about_ca_system_score_gemma":0.0003068741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07674502,"about_ca_topic_score_gemma":0.0653007,"domain_scores_codex":[0.9997802,0.00004224076,0.00003100153,0.0000608975,0.00003968352,0.00004594207],"domain_scores_gemma":[0.999101,0.0001014325,0.0005421173,0.00003622971,0.0001369015,0.00008232876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005026528,0.00003119037,0.9976199,0.00002365481,0.00008604343,0.0000145665,0.0001062983,0.0000615147,0.00007519119,0.00002047708,0.0004851677,0.001425694],"study_design_scores_gemma":[0.000003117841,0.00001696498,0.9993743,0.000008094502,0.00002057814,0.00001650256,0.0002133939,0.0001158979,0.0000151809,0.000005382323,0.0002087934,0.0000017742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909895,0.0003830336,0.00006214192,0.0001127378,0.000008929678,0.00001200462,0.007795928,0.00000858184,0.0006270076],"genre_scores_gemma":[0.9928374,0.0003889049,0.0001271643,0.00007213392,0.00001858135,0.00004247792,0.006097595,0.000002428157,0.00041329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07674502,"threshold_uncertainty_score":0.1525967,"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."}}