{"id":"W2327143220","doi":"10.1017/s1355617714000344","title":"Detecting Everyday Action Deficits in Alzheimer’s Disease Using a Nonimmersive Virtual Reality Kitchen","year":2014,"lang":"en","type":"article","venue":"Journal of the International Neuropsychological Society","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Universite Angers","keywords":"Activities of daily living; Neuropsychology; Task (project management); Psychology; Everyday life; Virtual reality; Neuropsychological assessment; Ecological validity; Cognition; Virtual machine; Physical medicine and rehabilitation; Medicine; Computer science; Human–computer interaction; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004484348,0.0006468524,0.0003281078,0.0005973054,0.0001659845,0.0004040104,0.0003721815,0.000328882,0.0008878278],"category_scores_gemma":[0.001833743,0.0001759543,0.0002533442,0.0001691326,0.0002578176,0.0004535411,0.0007240729,0.0001634987,0.000194038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009963972,"about_ca_system_score_gemma":0.00009489136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009684049,"about_ca_topic_score_gemma":0.002154491,"domain_scores_codex":[0.9996793,0.0001229741,0.00003984474,0.00006338859,0.00006074189,0.00003378543],"domain_scores_gemma":[0.9995509,0.0001670289,0.0001113222,0.00004143502,0.00005122128,0.00007812041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006439178,0.003290573,0.74887,0.000601379,0.0005114286,0.001299835,0.003749888,0.003314362,0.08990555,0.0001965476,0.0004845825,0.1413367],"study_design_scores_gemma":[0.0001274679,0.007621112,0.9695855,0.00004613071,0.0001642198,0.002695044,0.001203769,0.006483714,0.01094213,0.0003839618,0.0006686433,0.00007829546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991702,0.00005430932,0.0005283724,0.000003590563,0.000001911072,0.00001443118,0.00003249431,0.000007085172,0.0001875666],"genre_scores_gemma":[0.997848,0.00007220053,0.001824528,0.000008258587,0.000002611195,0.00002241002,0.00007992099,0.000001429047,0.0001406186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009684049,"threshold_uncertainty_score":0.002970099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09506023835275555,"score_gpt":0.3916333316656579,"score_spread":0.2965730933129024,"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."}}