{"id":"W4293318929","doi":"10.29173/irie481","title":"Know Thyself as a Virtual Reality","year":2022,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Face (sociological concept); Engineering ethics; Ethical issues; Virtual reality; Sociology; Computer science; Engineering; Social science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003847909,0.00007704856,0.0001209394,0.00007218781,0.0002771489,0.00007438038,0.00195496,0.00002898326,0.0002468002],"category_scores_gemma":[0.00163594,0.00005675718,0.00008970248,0.0004085288,0.00005718063,0.001015242,0.0006764045,0.0005035823,0.0001389235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188619,"about_ca_system_score_gemma":0.0004290836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165517,"about_ca_topic_score_gemma":0.000002582099,"domain_scores_codex":[0.9978789,0.0001888734,0.0005533708,0.00008448726,0.001195907,0.00009845912],"domain_scores_gemma":[0.9980726,0.0004674545,0.0004701417,0.0005448855,0.0004018213,0.00004307176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003148241,0.00002286915,0.000001294125,0.0001209882,0.00001446129,1.100813e-7,0.00128811,0.0003308814,0.000008031828,0.9225753,0.01131237,0.06432245],"study_design_scores_gemma":[0.0001140294,0.00009293367,0.0001360563,0.0002811705,0.000006521611,0.00004086495,0.000213555,0.009751249,0.000120684,0.02246051,0.9666978,0.00008458909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006827456,0.002556656,0.492819,0.4035437,0.0008692357,0.0008284826,0.0001589719,0.0001334006,0.09840781],"genre_scores_gemma":[0.7887534,0.05270922,0.003574132,0.1528066,0.0001350138,0.0004743259,0.0004060233,0.00001294483,0.001128411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9553854,"threshold_uncertainty_score":0.3632835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766790855206605,"score_gpt":0.3589376078358492,"score_spread":0.3112696992837831,"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."}}