{"id":"W2995590269","doi":"","title":"Use of the Montreal Cognitive Assessment (MoCA) in a Rural Outreach Program for Military Veterans.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Rural Health; U.S. Department of Veterans Affairs","keywords":"Montreal Cognitive Assessment; Outreach; Rural community; Gerontology; Medicine; Rural area; Multivariate analysis; Psychology; Demography; Cognition; Cognitive impairment; Psychiatry; Political science; Sociology","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":[0.0007173208,0.0002242149,0.000135979,0.0006822431,0.0006292117,0.0002767807,0.0003102157,0.0002247993,0.0006067699],"category_scores_gemma":[0.003693629,0.0001647543,0.0001306022,0.000558543,0.0002171416,0.0003105702,0.0004643903,0.0003424059,0.0001232513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007933317,"about_ca_system_score_gemma":0.00136626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1124993,"about_ca_topic_score_gemma":0.2107949,"domain_scores_codex":[0.9995395,0.0002101521,0.00002094505,0.00005067834,0.00008668972,0.00009193805],"domain_scores_gemma":[0.9991903,0.0001545445,0.0003138188,0.0000281546,0.0001172652,0.0001959383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004754523,0.000185928,0.9939092,0.000008979147,0.000009369125,0.00007874616,0.0007018302,0.00003315971,0.0001517251,0.00001435195,0.000250119,0.004609073],"study_design_scores_gemma":[0.0000100977,0.0004185038,0.9972305,0.00001110051,0.000007870567,0.0001402665,0.001572158,0.0002977228,0.00009852081,0.00003562798,0.0001725993,0.000005040396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995298,0.00004217934,0.00003082271,0.00005246466,0.000001536252,0.00001919108,0.00007996122,0.000002081715,0.000241911],"genre_scores_gemma":[0.9996578,0.00004639211,0.00009284445,0.00002523431,0.000001957708,0.00001391146,0.00006209063,7.038964e-7,0.00009920635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1124993,"threshold_uncertainty_score":0.2236891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04994913481300599,"score_gpt":0.3441892765264362,"score_spread":0.2942401417134302,"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."}}