{"id":"W2915903961","doi":"10.3390/brainsci9030047","title":"Active Navigation in Virtual Environments Benefits Spatial Memory in Older Adults","year":2019,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Encoding (memory); Spatial memory; Cognition; Psychology; Virtual reality; Computer science; Spatial cognition; Cognitive psychology; Working memory; Artificial intelligence; Neuroscience","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":[0.000216836,0.00007536552,0.00007772086,0.0001350287,0.00002514762,0.00001907369,0.00009697809,0.00005099401,0.0001470311],"category_scores_gemma":[0.0000314746,0.00007667903,0.00001474405,0.000306594,0.00004537486,0.0003393469,0.00001550516,0.00009023273,0.0001409821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006175776,"about_ca_system_score_gemma":0.00001188184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891908,"about_ca_topic_score_gemma":0.0003640405,"domain_scores_codex":[0.9992564,0.00002859835,0.0001453262,0.0001815861,0.0002377668,0.00015032],"domain_scores_gemma":[0.9998108,0.00007401453,0.00002470205,0.00005730596,0.000005680125,0.00002753448],"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":[0.00009100966,0.0001562156,0.03949827,0.0000445583,0.000006702514,0.000007777896,0.0112988,0.1970653,0.02469828,0.0005436931,0.000100776,0.7264886],"study_design_scores_gemma":[0.001617415,0.0001112575,0.8550357,0.0003224504,0.000001293987,0.000001659481,0.001916061,0.1147766,0.02571941,0.0001586766,0.00009309156,0.0002464696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973788,0.00002507657,0.0001852408,0.00009015563,0.0002697509,0.0002499766,0.000005522342,0.00002738894,0.001768104],"genre_scores_gemma":[0.9997549,0.000007498135,0.00003606448,0.00008206717,0.00002789244,0.00001719031,0.00002023503,0.000005776586,0.00004837755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8155374,"threshold_uncertainty_score":0.312688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007402997498071651,"score_gpt":0.2186203908450314,"score_spread":0.2112173933469597,"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."}}