{"id":"W4240865494","doi":"10.2196/preprints.17332","title":"Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Cognition; Cognitive test; Logistic regression; Cohort; Montreal Cognitive Assessment; Medicine; Cognitive decline; Test (biology); Psychology; Cognitive impairment; Audiology; Gerontology; Psychiatry; Disease; Pathology; Internal medicine","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":[0.01330228,0.0006858151,0.0005162413,0.0009188666,0.0008301435,0.001088198,0.0007259304,0.0007463135,0.001439626],"category_scores_gemma":[0.01327964,0.000544565,0.001137063,0.0006687288,0.0004507573,0.001030699,0.0009130404,0.0007141757,0.0007429453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006950695,"about_ca_system_score_gemma":0.002419619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100234,"about_ca_topic_score_gemma":0.01417176,"domain_scores_codex":[0.9972097,0.00124547,0.0003432548,0.0002550625,0.0007541081,0.0001924211],"domain_scores_gemma":[0.9920548,0.002079888,0.001015564,0.0005866845,0.00351513,0.0007480377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003688495,0.01739332,0.9057985,0.0006132482,0.0004629152,0.0003185626,0.004938753,0.0002289393,0.002163944,0.0001607422,0.002388451,0.06184411],"study_design_scores_gemma":[0.001304892,0.01817475,0.9742623,0.000202406,0.0003486871,0.0002482504,0.001735548,0.0005663943,0.0007345764,0.00004976926,0.002333532,0.00003885716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995131,0.0001427818,0.0005274765,0.00006457931,0.00002782548,0.002724148,0.0005002723,0.00001832546,0.0008635517],"genre_scores_gemma":[0.9809013,0.0006104216,0.007929411,0.0004237065,0.00005107455,0.005463608,0.002555323,0.00002157194,0.002043542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330228,"threshold_uncertainty_score":0.07035005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192800999989596,"score_gpt":0.3194029324530037,"score_spread":0.3001228324540441,"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."}}