{"id":"W3132372953","doi":"10.1177/1071181320641514","title":"Virtual Reality, Augmented Reality, and Virtual Environments: Demonstrations of Current Technologies and Future Directions","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Virtual reality; Session (web analytics); Popularity; Computer science; Augmented reality; Immersive technology; Multimedia; Human–computer interaction; Field (mathematics); Work (physics); Mixed reality; Immersion (mathematics); Emerging technologies; Engineering; World Wide Web; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520113,0.0007986531,0.0003080754,0.0003357894,0.0005636079,0.001952762,0.001082206,0.001233861,0.00811083],"category_scores_gemma":[0.003313413,0.0003557637,0.0005791914,0.0002651132,0.000998361,0.002499099,0.002638311,0.002171851,0.001067395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802137,"about_ca_system_score_gemma":0.0004126166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236135,"about_ca_topic_score_gemma":0.001476118,"domain_scores_codex":[0.9986045,0.0007384586,0.00004301526,0.00009082377,0.0003965359,0.0001267476],"domain_scores_gemma":[0.99792,0.001072575,0.00007192573,0.0001914575,0.0002739477,0.0004700751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001955265,0.005093376,0.0046906,0.004373254,0.0001949084,0.002295024,0.01169067,0.01366234,0.0739694,0.1017142,0.1439609,0.6364001],"study_design_scores_gemma":[0.0005220235,0.00839611,0.01729794,0.001938057,0.00009839618,0.00521983,0.006651222,0.02943395,0.02684882,0.02659922,0.8767344,0.0002600127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2721829,0.07226683,0.3486684,0.03112969,0.005517514,0.00111072,0.0007486902,0.005143109,0.2632321],"genre_scores_gemma":[0.6691672,0.0342943,0.217849,0.001653229,0.001347994,0.0006693837,0.0006051919,0.0004575387,0.07395621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00811083,"threshold_uncertainty_score":0.02713341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900797699219783,"score_gpt":0.2807111457106004,"score_spread":0.2417031687184026,"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."}}