{"id":"W4289787057","doi":"","title":"KAZAKH ADAPTATION OF THE MONTREAL COGNITIVE ASSESSMENT (MOCA).","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cronbach's alpha; Kazakh; Cognition; Medicine; Reliability (semiconductor); Psychology; Clinical psychology; Psychometrics; Cognitive impairment; Psychiatry","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":[0.001911787,0.0007060562,0.0006500392,0.001918516,0.0008061742,0.0008132535,0.0007920182,0.0003137666,0.002737041],"category_scores_gemma":[0.005561224,0.0001954209,0.0007846035,0.001267627,0.0004546994,0.0006351129,0.001473218,0.0007434973,0.0008001594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093005,"about_ca_system_score_gemma":0.002221291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148663,"about_ca_topic_score_gemma":0.01847795,"domain_scores_codex":[0.9982575,0.0005219522,0.0004080377,0.0002209773,0.0004665066,0.0001250111],"domain_scores_gemma":[0.9985776,0.0001603842,0.0002515151,0.0001247561,0.0008061551,0.00007963608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002466135,0.0009272189,0.3087042,0.001929863,0.001132731,0.001117103,0.003185588,0.001708865,0.006133387,0.009197142,0.07209023,0.5914075],"study_design_scores_gemma":[0.0005576726,0.001322836,0.851948,0.0005313894,0.000459475,0.006357095,0.001726241,0.002140809,0.002497076,0.007230581,0.1250394,0.0001894935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7910231,0.02141503,0.04651682,0.003667232,0.003700417,0.00860191,0.03049105,0.001944636,0.09263977],"genre_scores_gemma":[0.8957196,0.004823644,0.0558065,0.001050544,0.0003249067,0.007262826,0.0170238,0.0002158452,0.01777237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01148663,"threshold_uncertainty_score":0.02283961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055847114992859,"score_gpt":0.2945794872991074,"score_spread":0.2640210161491788,"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."}}