{"id":"W2063873437","doi":"10.1007/s10055-006-0041-7","title":"Gender differences in spatial navigation in virtual space: implications when using virtual environments in instruction and assessment","year":2006,"lang":"en","type":"article","venue":"Virtual Reality","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Virtual reality; Spatial ability; Space (punctuation); Virtual space; Computer graphics; Human–computer interaction; Computer graphics (images); Multimedia; Artificial intelligence; Psychology","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":[0.0002813283,0.0001818095,0.0002095231,0.0002479519,0.00005421348,0.00004384535,0.00006700143,0.0001609053,0.00002719053],"category_scores_gemma":[0.0000229584,0.0002081393,0.00002415098,0.0002703767,0.00006759103,0.0003513264,0.00003568924,0.00030469,0.000003643875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890985,"about_ca_system_score_gemma":0.0000354306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005480161,"about_ca_topic_score_gemma":0.0041241,"domain_scores_codex":[0.9986132,0.0001344126,0.0004873913,0.0002970475,0.0002384456,0.0002295187],"domain_scores_gemma":[0.9996509,0.00006579664,0.00007388391,0.0001415286,0.00001447552,0.00005342867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008667241,0.0003864401,0.7633727,0.00004559694,0.0000160932,0.000009485295,0.001418018,0.06325311,0.05170404,0.01540319,0.0000240601,0.1042806],"study_design_scores_gemma":[0.001114599,0.00005381867,0.9071627,0.00004928641,0.000006878519,0.00000339379,0.0002934039,0.08687716,0.0008946248,0.003302711,0.00003964732,0.0002017403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629192,0.0000182172,0.03595715,0.00006595723,0.0001493736,0.0003065364,0.00004525935,0.00004744151,0.0004908622],"genre_scores_gemma":[0.9993032,0.00004092069,0.000247,0.00001428376,0.00007395683,0.00004665374,0.0002461475,0.00001811768,0.000009759556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437901,"threshold_uncertainty_score":0.8487675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723545727378574,"score_gpt":0.2826169843296186,"score_spread":0.2453815270558328,"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."}}