{"id":"W4412830063","doi":"10.1016/j.mcpdig.2025.100252","title":"An Automated Mobile Cognitive Test for the Identification of Cognitive Impairment: A Cross-sectional Feasibility and Diagnostic Study","year":2025,"lang":"en","type":"article","venue":"Mayo Clinic Proceedings Digital Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University of Singapore","keywords":"Identification (biology); Cognition; Cognitive impairment; Test (biology); Cross-sectional study; Computer science; Medicine; Psychiatry; Pathology","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":[0.003500114,0.0006268462,0.0002817965,0.001246454,0.0005046786,0.0005393822,0.0004920576,0.0007474482,0.0008267318],"category_scores_gemma":[0.007781408,0.0005167634,0.0003650563,0.0005974043,0.0004734409,0.0009507082,0.0005943219,0.0006679959,0.0004372954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003690592,"about_ca_system_score_gemma":0.0004856549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067047,"about_ca_topic_score_gemma":0.003444455,"domain_scores_codex":[0.9983828,0.0006735848,0.0001337097,0.00028712,0.0003993797,0.0001234516],"domain_scores_gemma":[0.9950434,0.001613399,0.001307314,0.0002651991,0.001290283,0.0004803501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004768389,0.0006725725,0.9959112,0.00001102466,0.00003564745,0.00009470669,0.0001747905,0.00004105344,0.0005087276,0.00001374104,0.00005267427,0.002006947],"study_design_scores_gemma":[0.00012503,0.004309299,0.9931259,0.000007703424,0.00004271034,0.000864044,0.0002235944,0.0007559941,0.0002998479,0.00002253237,0.0002120764,0.00001122203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992261,0.00005938765,0.0002853539,0.00001849422,0.000004662962,0.00008580627,0.000109477,0.000002947284,0.0002077945],"genre_scores_gemma":[0.9985525,0.00004259596,0.0008452383,0.00005169248,0.00001357859,0.0001033567,0.0002582744,0.000002262652,0.0001305414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003500114,"threshold_uncertainty_score":0.01851064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610961812761663,"score_gpt":0.4625558946090571,"score_spread":0.4164462764814405,"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."}}