{"id":"W4380883775","doi":"10.1002/alz.063363","title":"Reliability, validity, and feasibility of a smartphone‐based cognitive assessment for preclinical Alzheimer disease","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Intraclass correlation; Reliability (semiconductor); Psychology; Dementia; Montreal Cognitive Assessment; Construct validity; Cognitive test; Arc (geometry); Disease; Audiology; Clinical psychology; Psychometrics; Medicine; Cognitive impairment; 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":[0.007423371,0.0004775078,0.0003739099,0.00125262,0.0003214313,0.0009310489,0.0006307588,0.0007752894,0.0006080348],"category_scores_gemma":[0.01917152,0.0003053547,0.0009430085,0.0005716008,0.0003419702,0.0007452871,0.001058772,0.0005509077,0.00058493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586473,"about_ca_system_score_gemma":0.0003556023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001764759,"about_ca_topic_score_gemma":0.003031345,"domain_scores_codex":[0.9957968,0.001519854,0.0006942009,0.0007028339,0.001128478,0.0001579366],"domain_scores_gemma":[0.9877052,0.003896143,0.002504886,0.001065632,0.004447747,0.0003803288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008582867,0.0003400611,0.9629983,0.00009280929,0.0002948011,0.00004060857,0.0005926746,0.0004072374,0.002054225,0.00006720727,0.0005252777,0.03172838],"study_design_scores_gemma":[0.00004209159,0.00104914,0.994338,0.00003344728,0.00009375165,0.0001917004,0.0002532383,0.002573339,0.0008062951,0.00007913985,0.0005219974,0.00001790263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964568,0.0002308838,0.001530833,0.00004574012,0.00003179731,0.0001690922,0.000420088,0.00004656209,0.00106814],"genre_scores_gemma":[0.9969268,0.00006968643,0.00220138,0.00003785112,0.00001669914,0.0001297955,0.00040464,0.000006406209,0.000206703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007423371,"threshold_uncertainty_score":0.03925902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522433867792738,"score_gpt":0.4450784507861535,"score_spread":0.2928350640068797,"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."}}