{"id":"W4405965531","doi":"10.1093/geroni/igae098.2611","title":"MONTREAL COGNITIVE ASSESSMENT SURVEY ADAPTATION IN A COMMUNITY-BASED OLDER ADULT SAMPLE, 2019–2020 NHANES","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gerontology; Sample (material); Adaptation (eye); Montreal Cognitive Assessment; National Health and Nutrition Examination Survey; Cognitive impairment; Cognition; Psychology; Medicine; Environmental health; Psychiatry; Population","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":[0.002019444,0.0004322145,0.00033951,0.001281393,0.0006038441,0.0006572072,0.0006657191,0.0004557149,0.001235933],"category_scores_gemma":[0.003808649,0.0003285648,0.0007971909,0.001679745,0.000191948,0.000545728,0.0005454765,0.0007291652,0.0007978459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034631,"about_ca_system_score_gemma":0.0009504927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185188,"about_ca_topic_score_gemma":0.1292525,"domain_scores_codex":[0.9990739,0.0002202082,0.0001130166,0.0001793607,0.0003134255,0.0001000538],"domain_scores_gemma":[0.9985192,0.0001273511,0.0004329604,0.0001280814,0.0006712719,0.0001212171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001378051,0.000114775,0.9927655,0.00002577382,0.000146387,0.00003028087,0.0001218119,0.0001203756,0.0001563769,0.00005132888,0.003913848,0.002415643],"study_design_scores_gemma":[0.00001445051,0.00005031844,0.9986531,0.000006993399,0.00001757733,0.00003090091,0.0001382246,0.0002256749,0.00004410212,0.00002053343,0.0007937342,0.000004519482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540185,0.0002637351,0.000705493,0.0001832717,0.00005545286,0.0004171163,0.04119094,0.0000521707,0.003113354],"genre_scores_gemma":[0.9432659,0.0001667939,0.001190506,0.0002820931,0.00002985434,0.0009636659,0.05251254,0.00002308417,0.001565743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1185188,"threshold_uncertainty_score":0.2356579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07677488187789967,"score_gpt":0.408360066837672,"score_spread":0.3315851849597723,"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."}}