{"id":"W4396760046","doi":"10.1371/journal.pone.0298116","title":"The relationship between object-based spatial ability and virtual navigation performance","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Alzheimer’s Research UK","keywords":"Spatial memory; Mental rotation; Path integration; Working memory; Psychology; Cognitive psychology; Spatial ability; Spatial cognition; Landmark; Cognition; Task (project management); Audiology; Computer science; Artificial intelligence; Medicine; 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":[0.0003835259,0.0002875109,0.0001896044,0.00102878,0.0002217225,0.00102035,0.0003119798,0.0004283715,0.004445141],"category_scores_gemma":[0.004311399,0.0001657172,0.0002464722,0.0005368236,0.0003660324,0.0005781207,0.0007192574,0.0004030842,0.0005817364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368357,"about_ca_system_score_gemma":0.0001305367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844139,"about_ca_topic_score_gemma":0.003617759,"domain_scores_codex":[0.9996917,0.00005257584,0.00005037164,0.00006662773,0.00009332237,0.00004538598],"domain_scores_gemma":[0.996749,0.001092378,0.001187751,0.0001762803,0.0002948955,0.0004995881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008035947,0.0001225961,0.9944055,0.00001485786,0.00004166712,0.0000710164,0.0002841789,0.0001057685,0.0008820051,0.00003935897,0.00004978116,0.003902929],"study_design_scores_gemma":[0.000002367027,0.0002064248,0.9985729,0.000005627859,0.00001145883,0.0002172251,0.0002912162,0.0003014505,0.0001443869,0.00006578646,0.0001756212,0.000005563661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990694,0.00007451726,0.00009738423,0.0000101416,0.000002732532,0.000004420641,0.00006857281,0.00000465831,0.0006683157],"genre_scores_gemma":[0.9992576,0.00005939168,0.000151533,0.000005091648,0.000002883296,0.000005767745,0.0001032498,0.00000211428,0.0004124552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004445141,"threshold_uncertainty_score":0.01487046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282115648773539,"score_gpt":0.2350696084038367,"score_spread":0.1922484519161013,"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."}}