{"id":"W2141829608","doi":"10.1145/1190036.1190041","title":"Personal space in virtual reality","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Stereoscopy; Virtual reality; Space (punctuation); Sense of presence; Interpersonal communication; Projection (relational algebra); Computer science; Human–computer interaction; Psychology; Multimedia; Computer vision; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008345931,0.0003434558,0.0002423107,0.0004936949,0.001354068,0.005268881,0.0005074813,0.001184698,0.006554877],"category_scores_gemma":[0.002392301,0.0001889554,0.0002985633,0.0004206153,0.00459264,0.003748131,0.003026295,0.001321923,0.0006330349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009256388,"about_ca_system_score_gemma":0.0004687608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691467,"about_ca_topic_score_gemma":0.001574276,"domain_scores_codex":[0.9986507,0.0009278892,0.0000268358,0.0001149805,0.0001824427,0.00009716469],"domain_scores_gemma":[0.9991739,0.0004033511,0.00009650221,0.0001101624,0.00007825779,0.0001377741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009047198,0.00003041912,0.001479905,0.0003050955,0.00001958898,0.0006725576,0.02357163,0.00198961,0.002085182,0.861773,0.01357172,0.09441093],"study_design_scores_gemma":[0.00003269362,0.0001648965,0.004740886,0.000443735,0.00003614604,0.002866552,0.01535464,0.002769147,0.0009091254,0.3641267,0.6084689,0.00008648918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1185937,0.06232149,0.06638569,0.02261346,0.002711625,0.00006556424,0.0001408416,0.0002863073,0.7268813],"genre_scores_gemma":[0.9499448,0.008733625,0.01057149,0.001635169,0.0007268556,0.00008173929,0.00006198845,0.00004997327,0.02819441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006554877,"threshold_uncertainty_score":0.02192825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439481523389336,"score_gpt":0.269024488123547,"score_spread":0.2446296728896536,"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."}}