{"id":"W4386243147","doi":"10.1145/3573381.3596158","title":"Virtual Rehearsal Suite: An Environment and Framework for Virtual Performance Practice","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Suite; Computer science; Virtual reality; Human–computer interaction; Leverage (statistics); Multimedia; Virtual machine; Process (computing); 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":[],"consensus_categories":[],"category_scores_codex":[0.0006339867,0.0001278087,0.0001204274,0.00008208521,0.0002553114,0.000230771,0.0004285858,0.00009256922,0.00001605767],"category_scores_gemma":[0.0002743047,0.0001150293,0.00002773175,0.0003150748,0.00006623035,0.001397494,0.0002536274,0.0001351985,0.0002028225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003430461,"about_ca_system_score_gemma":0.00004713686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900302,"about_ca_topic_score_gemma":0.000001639178,"domain_scores_codex":[0.9987244,0.00004509418,0.0001919888,0.0004289841,0.000270784,0.0003387442],"domain_scores_gemma":[0.9984282,0.00063815,0.00006606132,0.0006172251,0.00003416504,0.0002162307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002366413,0.00009340658,0.00007178248,0.000005807795,0.00001156522,0.000001176966,0.001054694,0.0004140176,0.0003817839,0.7582435,0.001495079,0.2382035],"study_design_scores_gemma":[0.0009128276,0.004913972,0.02932454,0.00003258965,0.00002782923,0.00005441357,0.001817702,0.637981,0.002072671,0.02023857,0.3018616,0.0007622482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.161507,0.0000130767,0.8327667,0.00450334,0.0001040467,0.0003262708,0.000009070599,0.0002539312,0.0005165614],"genre_scores_gemma":[0.8691348,0.0002667376,0.1279554,0.001478292,0.0001152122,0.0001040511,0.00001642724,0.00001608799,0.0009129537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.738005,"threshold_uncertainty_score":0.4690758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312379720666479,"score_gpt":0.3111166548112998,"score_spread":0.277992857604635,"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."}}