{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005332635,0.000168424,0.0001829281,0.0002319415,0.0001220512,0.00006001814,0.00006748709,0.0001296064,0.00006595137],"category_scores_gemma":[0.00008939039,0.0001401082,0.0000316892,0.0003646627,0.0003058028,0.0001215769,0.00004888947,0.0007316496,0.00003639744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002377293,"about_ca_system_score_gemma":0.00002265336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190274,"about_ca_topic_score_gemma":0.0003677599,"domain_scores_codex":[0.9981725,0.0005727372,0.00026195,0.0006273799,0.00009259365,0.0002728033],"domain_scores_gemma":[0.9991109,0.0005763895,0.0000428671,0.0001800275,0.00003683359,0.000053019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00573208,0.001702229,0.1487677,0.0002434178,0.0006198379,0.01214193,0.02209689,0.00002018268,0.006276548,0.09427813,0.01049795,0.6976231],"study_design_scores_gemma":[0.001158532,0.0002200872,0.9884613,0.0001084102,0.00005758343,0.0001853696,0.001765309,0.0001240176,0.000009156334,0.007263803,0.0004876074,0.0001588181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585419,0.001002276,0.0002929716,0.001481938,0.001815832,0.0003728731,0.00002391131,0.00008318046,0.03638514],"genre_scores_gemma":[0.9965485,0.0004273258,0.000007470949,0.0020722,0.0001796438,0.0001238059,0.00003631018,0.00001995271,0.0005847992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8396937,"threshold_uncertainty_score":0.5713447,"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."}}