{"id":"W3179332171","doi":"10.2196/28165","title":"Personalized Visual Mapping Assistive Technology to Improve Functional Ability in Persons With Dementia: Feasibility Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIH Clinical Center; National Institute on Aging; Georgia Research Alliance; Emory University; Goizueta Business School, Emory University; Geriatric Research Education and Clinical Center; U.S. Department of Veterans Affairs","keywords":"Toileting; Activities of daily living; mHealth; Recall; Visual impairment; Veterans Affairs; Medicine; Dementia; Cognition; Assistive technology; Occupational therapy; Gerontology; Physical therapy; Physical medicine and rehabilitation; Psychology; Nursing; Psychiatry; Computer science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008060299,0.0001900596,0.00037817,0.0003451112,0.000153181,0.00004483177,0.00006821619,0.00006558493,0.0009592793],"category_scores_gemma":[0.0001971614,0.0001663954,0.00007653201,0.001080188,0.0001308529,0.00009564732,0.0001856546,0.0004366797,0.00002436775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153464,"about_ca_system_score_gemma":0.0004086905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005232374,"about_ca_topic_score_gemma":0.0001149715,"domain_scores_codex":[0.9976014,0.0001665238,0.0002721511,0.0008276676,0.0006578867,0.000474407],"domain_scores_gemma":[0.9989965,0.00007194968,0.00004871908,0.0002838384,0.0004374772,0.0001615214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004140367,0.002216302,0.9810278,0.00007780555,0.0003621031,0.0003344839,0.00046616,9.671477e-7,0.01143411,0.000009929389,0.00006196668,0.003594333],"study_design_scores_gemma":[0.004210612,0.0008160151,0.977949,0.0001057065,0.0001227032,0.00003774573,0.01513764,0.0001209354,0.001175798,0.00001147882,0.0001504577,0.0001618851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915278,0.00006712413,0.002064131,0.001650005,0.00005660615,0.002768959,0.000006424793,0.000080479,0.001778484],"genre_scores_gemma":[0.9973704,0.000001104592,0.0004545175,0.0002320377,0.00005276971,0.000963197,0.00002787053,0.00001754207,0.0008806039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467148,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280793017176241,"score_gpt":0.3573046982983417,"score_spread":0.3344967681265792,"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."}}