{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000265425,0.0001703297,0.0001519822,0.0002225592,0.0002050137,0.0001121709,0.0005006914,0.0001260295,0.0001469372],"category_scores_gemma":[0.000006589619,0.0001760723,0.0000746345,0.0006545964,0.00006129357,0.0003195023,0.00001241112,0.0002782737,0.0003629159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238664,"about_ca_system_score_gemma":0.00005382232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007052138,"about_ca_topic_score_gemma":0.0004519516,"domain_scores_codex":[0.9986068,0.00004586238,0.0002632336,0.000468264,0.0003197257,0.0002961024],"domain_scores_gemma":[0.9990291,0.0000781221,0.00005406676,0.0007216877,0.00003112146,0.00008591261],"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":[0.0001152805,0.001635318,0.00007503964,0.00001823385,0.00001648581,0.000003657848,0.003739086,0.02528514,0.06297645,0.1560999,0.00173345,0.7483019],"study_design_scores_gemma":[0.006618443,0.001167966,0.5913478,0.0001128704,0.00007177534,0.00008806026,0.004602559,0.221186,0.01161203,0.1253634,0.03492752,0.002901557],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1007637,0.00000248927,0.8888502,0.003071791,0.00006721286,0.0002595647,0.00001448995,0.0001851458,0.00678541],"genre_scores_gemma":[0.9914086,0.00001939767,0.007666601,0.0003029304,0.00005872602,0.0001132071,0.00002193775,0.00001168851,0.0003968398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.890645,"threshold_uncertainty_score":0.718002,"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."}}