{"id":"W4294325518","doi":"10.1002/gps.5808","title":"MoCA in five Indian languages: A brief screening tool to diagnose dementia and MCI in a linguistically diverse setting","year":2022,"lang":"en","type":"article","venue":"International Journal of Geriatric Psychiatry","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Council of Medical Research","keywords":"Dementia; Montreal Cognitive Assessment; Malayalam; Bengali; Kannada; Medicine; Population; Gerontology; Cognitive impairment; Psychiatry; Cognition; Psychology; Artificial intelligence; Pathology; Computer science; 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":[0.002472133,0.000606564,0.0007288074,0.002785059,0.0008476958,0.001126315,0.0009732641,0.0004125568,0.0014184],"category_scores_gemma":[0.006058529,0.0002415709,0.0009974488,0.001750219,0.0004890257,0.0007692288,0.00142323,0.0007715711,0.0003170421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007540513,"about_ca_system_score_gemma":0.00222484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367477,"about_ca_topic_score_gemma":0.03136603,"domain_scores_codex":[0.9985178,0.0005303692,0.0002920313,0.0001490184,0.0003632119,0.0001475978],"domain_scores_gemma":[0.9977388,0.0004298936,0.0008499708,0.0001261455,0.0006063986,0.0002488465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001353544,0.00109595,0.8224781,0.001267042,0.0009433444,0.0008366168,0.004869578,0.0009053615,0.003927576,0.0006366461,0.008083498,0.1536027],"study_design_scores_gemma":[0.0001212574,0.0006402631,0.9877529,0.0003726163,0.0002642433,0.001340081,0.002841173,0.0009847782,0.0007663037,0.000634799,0.004172042,0.0001094589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848484,0.001367817,0.001687154,0.0004701817,0.0000878699,0.001298611,0.002268998,0.0001217721,0.007849267],"genre_scores_gemma":[0.9803272,0.001072206,0.01393754,0.0003025194,0.00004057338,0.001570592,0.001607581,0.00001517635,0.001126538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367477,"threshold_uncertainty_score":0.02719033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008195690500785254,"score_gpt":0.3174739197647991,"score_spread":0.3092782292640138,"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."}}