{"id":"W4205903490","doi":"10.3389/frvir.2021.807991","title":"Virtual Reality and EEG-Based Intelligent Agent in Older Adults With Subjective Cognitive Decline: A Feasibility Study for Effects on Emotion and Cognition","year":2022,"lang":"en","type":"article","venue":"Frontiers in Virtual Reality","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognition; Intervention (counseling); Affect (linguistics); Virtual reality; Psychology; Cognitive Intervention; Randomized controlled trial; Quality of life (healthcare); Medicine; Psychotherapist; Psychiatry; Computer science; Human–computer interaction; Communication","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003155768,0.0002920054,0.0005466681,0.0003227458,0.0002716231,0.00002638558,0.0001385589,0.0001501127,0.00002996213],"category_scores_gemma":[0.0006832744,0.0002778577,0.0000543738,0.0003756025,0.0003345627,0.00007654192,0.0001398866,0.0007275985,0.00000154976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520188,"about_ca_system_score_gemma":0.0001040855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128621,"about_ca_topic_score_gemma":0.002218701,"domain_scores_codex":[0.9946184,0.002866617,0.0004426771,0.001146481,0.0004244764,0.0005013233],"domain_scores_gemma":[0.9978732,0.001357725,0.0001600401,0.0003197785,0.0001380097,0.0001512701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04416751,0.005325587,0.8486673,0.0001000465,0.0001710616,0.0001070601,0.02983953,0.00008799483,0.000001753905,0.0002064659,0.0006996033,0.07062607],"study_design_scores_gemma":[0.01253226,0.009542677,0.8915992,0.000119895,0.00006634446,0.000006092671,0.08315939,0.002029113,0.00005221304,0.000620561,0.000009958001,0.0002622847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523399,0.000122986,0.04130458,0.0002924252,0.0004326271,0.00494083,0.0002779294,0.00004385696,0.0002447867],"genre_scores_gemma":[0.9976603,0.000005232125,0.00005439619,0.0002480294,0.00003292332,0.001668039,0.0002275702,0.0000256582,0.00007779124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07036378,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916080730713131,"score_gpt":0.3655627441294739,"score_spread":0.3264019368223426,"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."}}