{"id":"W4390193123","doi":"10.1002/alz.076244","title":"Developing an automated Cognitive assessment based on language; CognoSpeak‐ working with an ethnic minority group","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Somali; Montreal Cognitive Assessment; Cognition; Dementia; Ethnic group; Psychology; Active listening; Cognitive test; Cognitive Assessment System; Medicine; Cognitive impairment; Psychiatry; 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":[0.007779848,0.0004341682,0.0003150645,0.0007957781,0.001041921,0.001777824,0.0009483141,0.0004293869,0.003299139],"category_scores_gemma":[0.01213634,0.0002405202,0.0003402183,0.000285856,0.0005449381,0.001379707,0.002273261,0.0006434881,0.001965482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448535,"about_ca_system_score_gemma":0.002443606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004185757,"about_ca_topic_score_gemma":0.007215582,"domain_scores_codex":[0.9971379,0.001650932,0.0001963792,0.0003070695,0.0004331129,0.0002745857],"domain_scores_gemma":[0.9935988,0.002019485,0.0005188153,0.0006729703,0.002035479,0.001154452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008524239,0.004321774,0.4024041,0.0005355972,0.00009001112,0.001844118,0.07471573,0.0005843223,0.01750378,0.0005209225,0.01157144,0.4850557],"study_design_scores_gemma":[0.0004436538,0.005808989,0.705549,0.001368399,0.0003203397,0.006029256,0.1261342,0.01383192,0.04165206,0.004713275,0.0937186,0.000430326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9811054,0.0001347127,0.008577509,0.001160717,0.00005795116,0.001034429,0.0003459249,0.0004864293,0.00709694],"genre_scores_gemma":[0.924931,0.000271103,0.06757815,0.0008826454,0.00005302837,0.001328191,0.0004963704,0.0001065835,0.004353006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007779848,"threshold_uncertainty_score":0.04114425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08529058135547563,"score_gpt":0.4021788479545855,"score_spread":0.3168882665991098,"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."}}