{"id":"W4367662849","doi":"10.1109/vr55154.2023.00078","title":"Investigating Guardian Awareness Techniques to Promote Safety in Virtual Reality","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Guardian; Virtual reality; Distraction; Haptic technology; Computer science; Human–computer interaction; Augmented reality; Recall; Set (abstract data type); Internet privacy; Computer security; Simulation; Psychology; Cognitive 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":[0.001095056,0.000114702,0.0001595471,0.0002286673,0.00012829,0.0001395056,0.0006952277,0.00006475322,0.000005345339],"category_scores_gemma":[0.0002924511,0.0001049065,0.00003257293,0.002348807,0.0000315826,0.0003899609,0.0004538194,0.0001134548,0.0001588258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009251616,"about_ca_system_score_gemma":0.0001609514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148359,"about_ca_topic_score_gemma":0.000557612,"domain_scores_codex":[0.9986308,0.00007054549,0.0003097957,0.0004047343,0.0002418168,0.0003423421],"domain_scores_gemma":[0.9989246,0.00007091365,0.00004337255,0.0006860273,0.00005644486,0.0002186484],"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":[0.000002838803,0.00006334967,0.001463183,0.00001792939,0.000006205966,0.000006851643,0.002862506,0.0008634046,0.008887217,0.3125324,0.007849808,0.6654443],"study_design_scores_gemma":[0.0007046112,0.000787199,0.2966113,0.0004115343,0.000006840838,0.00002167711,0.0008173892,0.261113,0.1292144,0.109179,0.1993983,0.001734757],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386856,0.000001939209,0.8212523,0.02363727,0.00007289108,0.0007526612,0.00001578156,0.001587087,0.01399449],"genre_scores_gemma":[0.966928,0.000008870262,0.03067521,0.001739737,0.000044775,0.0001265165,0.0000158813,0.00001136711,0.000449625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8282424,"threshold_uncertainty_score":0.4277964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454376224251108,"score_gpt":0.3387870604771238,"score_spread":0.2842432982346127,"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."}}