{"id":"W2163233885","doi":"10.1016/j.actpsy.2012.09.002","title":"Building a memory palace in minutes: Equivalent memory performance using virtual versus conventional environments with the Method of Loci","year":2012,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mnemonic; Recall; Computer science; Virtual machine; Psychology; Cognitive psychology; Human–computer interaction; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008987272,0.0008391,0.0006471823,0.0003888083,0.0003148102,0.001642179,0.001329698,0.0007991616,0.01096035],"category_scores_gemma":[0.004672524,0.0002853794,0.0004844689,0.0002682994,0.0006994061,0.002506489,0.001861424,0.0007439021,0.001502403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864998,"about_ca_system_score_gemma":0.000367897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006333273,"about_ca_topic_score_gemma":0.0003285429,"domain_scores_codex":[0.9995016,0.0001328933,0.00004896686,0.000159789,0.00009523957,0.00006149305],"domain_scores_gemma":[0.9979017,0.0009711778,0.0001007359,0.0006499624,0.0001160951,0.000260329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04223746,0.009032514,0.01123893,0.001309724,0.0005354605,0.0004644709,0.008804813,0.01253729,0.3010718,0.01185369,0.003339608,0.5975742],"study_design_scores_gemma":[0.005706644,0.1088673,0.0997285,0.0004520558,0.001517091,0.003127051,0.009825554,0.1028515,0.5633124,0.05072104,0.05296811,0.0009226891],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727236,0.000276698,0.02180041,0.00007142869,0.000145175,0.00009878475,0.0001493521,0.0004637609,0.00427085],"genre_scores_gemma":[0.9828848,0.0001360551,0.01236589,0.0000509079,0.00002303,0.0001038981,0.0002066634,0.0001091441,0.004119543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096035,"threshold_uncertainty_score":0.03666598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09214149461302709,"score_gpt":0.3890023981756037,"score_spread":0.2968609035625767,"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."}}