{"id":"W4389584479","doi":"10.1109/msec.2023.3336802","title":"Understanding Privacy in Virtual Reality Classrooms: A Contextual Integrity Perspective","year":2023,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Perspective (graphical); Virtual reality; Internet privacy; Computer science; Human–computer interaction; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004245201,0.0004010426,0.0005697925,0.0006128239,0.001136469,0.0003605097,0.001690249,0.0005426115,0.0002002435],"category_scores_gemma":[0.007204425,0.0004460659,0.0002384299,0.002395742,0.0008723127,0.001554405,0.0008403359,0.001654273,0.0003284224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372056,"about_ca_system_score_gemma":0.0008457504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03288149,"about_ca_topic_score_gemma":0.02846679,"domain_scores_codex":[0.9945137,0.001378102,0.0006865134,0.001060218,0.001125415,0.001236051],"domain_scores_gemma":[0.997357,0.0006990302,0.0002603162,0.001022633,0.0002672308,0.000393774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003936876,0.0006514903,0.006067753,0.000066119,0.0001028102,0.0001381606,0.3924456,0.00001493923,0.0003696678,0.5663702,0.03169972,0.001679883],"study_design_scores_gemma":[0.002178201,0.000259946,0.004214473,0.0001604011,0.00003908902,0.000007345136,0.2101182,0.001288571,0.0003843709,0.7296559,0.05076634,0.0009271435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078543,0.00024907,0.01241884,0.03633345,0.003641783,0.002887942,0.0003729905,0.0022033,0.03403833],"genre_scores_gemma":[0.9977702,0.0006692192,0.0000543991,0.0002949743,0.0008289226,0.00008205702,0.00006180333,0.00004047412,0.0001979615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1823274,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.152517166994752,"score_gpt":0.3714208644484374,"score_spread":0.2189036974536854,"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."}}