{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053588,0.0003376761,0.0002428517,0.0003538195,0.000167334,0.0004459981,0.0001231315,0.0002941587,0.001375719],"category_scores_gemma":[0.001876221,0.000148182,0.0001540572,0.0001559385,0.0001600582,0.0004794469,0.0002997926,0.0002181979,0.0002563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008524858,"about_ca_system_score_gemma":0.00007655894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193366,"about_ca_topic_score_gemma":0.003265318,"domain_scores_codex":[0.9999233,0.000008740114,0.00001138186,0.0000226196,0.00002075042,0.00001326799],"domain_scores_gemma":[0.9994867,0.00007868977,0.0002359785,0.00003752792,0.00008164677,0.0000794629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001169268,0.0005103149,0.9400793,0.00007583819,0.00007441447,0.0004503968,0.002445349,0.0001543561,0.01945348,0.00008320034,0.0002726073,0.03523139],"study_design_scores_gemma":[0.00001167391,0.0008913791,0.9970654,0.000009298124,0.00003131767,0.0003941117,0.0004093885,0.000107115,0.0007418722,0.00008015557,0.0002526464,0.000005750219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996094,0.0001258548,0.00003686726,0.000008736421,0.000002510614,0.000002065939,0.00003315363,0.000001693513,0.0001797331],"genre_scores_gemma":[0.9993561,0.0001195184,0.0001165354,0.00001664378,0.000006773071,0.000002824942,0.00006141453,7.071284e-7,0.0003193687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002193366,"threshold_uncertainty_score":0.004602194,"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."}}