{"id":"W4384828880","doi":"10.1515/9783839467619","title":"Actor &amp; Avatar","year":2023,"lang":"en","type":"book","venue":"transcript Verlag eBooks","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Avatar; Computer science; Human–computer interaction","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":[0.000213534,0.0006689098,0.0002385549,0.0004575405,0.0009861116,0.002873375,0.0004994196,0.0007167623,0.1443623],"category_scores_gemma":[0.0005713135,0.0002162783,0.0002328433,0.0004593576,0.0006513867,0.002760637,0.001389471,0.001126583,0.0864189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303409,"about_ca_system_score_gemma":0.0002841699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007342474,"about_ca_topic_score_gemma":0.001033348,"domain_scores_codex":[0.9998347,0.00003968046,0.000005786628,0.0000416046,0.00006070366,0.00001750406],"domain_scores_gemma":[0.9998764,0.00004556086,0.000006836935,0.0000182066,0.00002491237,0.00002817877],"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":[0.00006895544,0.00004001601,0.00015636,0.0003061322,0.000004126572,0.0004377738,0.002947873,0.0003543015,0.005496806,0.4263304,0.366969,0.1968883],"study_design_scores_gemma":[0.000003215977,0.000008080101,0.00003987983,0.00005715567,0.000001365273,0.0002714177,0.0002039402,0.000188879,0.0003305417,0.006175336,0.9927174,0.000002809282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006884597,0.001036439,0.009278951,0.000504465,0.0006575955,0.00003570965,0.0001720605,0.0004419879,0.9871843],"genre_scores_gemma":[0.015721,0.00126847,0.004398821,0.0002725427,0.0001184231,0.00006759473,0.0002950553,0.0003281123,0.97753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1443623,"threshold_uncertainty_score":0.4829401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06275823185270084,"score_gpt":0.2725498648046267,"score_spread":0.2097916329519259,"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."}}