{"id":"W4391883522","doi":"10.1080/13825585.2024.2315791","title":"Naturalistic assessments in virtual reality and in real life help resolve the age-prospective memory paradox","year":2024,"lang":"en","type":"article","venue":"Aging Neuropsychology and Cognition","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Prospective memory; Psychology; Developmental psychology; Neuroticism; Cognitive psychology; Agreeableness; Virtual reality; Cognition; Cognitive aging; Personality; Task (project management); Big Five personality traits; Social psychology; Artificial intelligence; Computer science; Extraversion and introversion","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":[0.002677368,0.0004278979,0.000295987,0.0006374621,0.000290777,0.0008763462,0.0004471256,0.0004346481,0.0008051244],"category_scores_gemma":[0.01117653,0.0001608067,0.0001663319,0.0002335842,0.0007103921,0.00152585,0.001139793,0.0005117416,0.00009519289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572742,"about_ca_system_score_gemma":0.000259314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008838026,"about_ca_topic_score_gemma":0.002664147,"domain_scores_codex":[0.9991835,0.000414708,0.00009949215,0.0001122808,0.0001510619,0.00003905949],"domain_scores_gemma":[0.9941208,0.002532404,0.001813234,0.0008268513,0.000371232,0.000335518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001680637,0.001759762,0.7863332,0.0009181017,0.0004219149,0.001235468,0.01151888,0.002233141,0.04069235,0.00746125,0.002126192,0.1436193],"study_design_scores_gemma":[0.00005113914,0.001996857,0.9573069,0.0001045542,0.00008037196,0.00226128,0.00350069,0.003616197,0.01095061,0.01690598,0.003149537,0.00007597137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899565,0.0006951307,0.006414905,0.0001516802,0.00002092453,0.00003193392,0.00008179974,0.00002815564,0.002619091],"genre_scores_gemma":[0.9966534,0.0001246412,0.002946611,0.00005470534,0.000008600889,0.0000213747,0.00004539105,0.000002600886,0.0001428465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002677368,"threshold_uncertainty_score":0.01415944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331693097839082,"score_gpt":0.3671602781303064,"score_spread":0.3238433471519155,"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."}}