{"id":"W4390080025","doi":"10.1093/geroni/igad104.2601","title":"DISPARITIES IN MOCA AND MMSE SCORES AMONG DIVERSE OLDER ADULTS: A CASE ANALYSIS OF CREOLE-SPEAKING PARTICIPANTS","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Montreal Cognitive Assessment; Demography; Gerontology; Psychology; Cognition; Test (biology); Analysis of variance; Medicine; Clinical psychology; Audiology; Cognitive impairment; Internal medicine; Psychiatry; Disease","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":[0.0005963552,0.0004628501,0.0004769587,0.002040835,0.002304885,0.0007414144,0.0007551717,0.0008865796,0.00153672],"category_scores_gemma":[0.001877107,0.0003545337,0.0004456696,0.001350628,0.0005393611,0.0005632835,0.0009338524,0.0005231862,0.0001934801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006604663,"about_ca_system_score_gemma":0.0006349431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939141,"about_ca_topic_score_gemma":0.02356658,"domain_scores_codex":[0.9994224,0.0001099505,0.00005780374,0.0001693351,0.000105298,0.0001351701],"domain_scores_gemma":[0.999442,0.0001130584,0.0001531749,0.00005887149,0.0001321192,0.0001006956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007148081,0.0001623767,0.9873577,0.00001757232,0.00003278906,0.007915843,0.002301175,0.000009412608,0.0005408127,0.00006386879,0.0001215068,0.001405419],"study_design_scores_gemma":[0.00001165355,0.0002267789,0.9668761,0.0000417038,0.0000641755,0.02203495,0.009585962,0.0003309452,0.0003214156,0.00007673049,0.0004117549,0.00001791203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996197,0.00006097244,0.00004451401,0.00002069219,0.000002271569,0.00002128891,0.0000364845,0.000001000956,0.0001930179],"genre_scores_gemma":[0.9997366,0.00004319384,0.000069373,0.00003294323,0.000004590098,0.00001005883,0.00004140878,0.000001370457,0.0000603362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01939141,"threshold_uncertainty_score":0.03855711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0820309295662793,"score_gpt":0.415412798599446,"score_spread":0.3333818690331667,"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."}}