{"id":"W4402722181","doi":"10.1145/3670947.3670983","title":"Virtual Task Environments Factors Explored in 3D Selection Studies","year":2024,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Task (project management); Selection (genetic algorithm); Human–computer interaction; Virtual reality; Artificial intelligence; Systems engineering; Engineering","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":[0.0340513,0.0008501501,0.0008372168,0.01129913,0.002115938,0.009093176,0.0009668418,0.0009923101,0.004806953],"category_scores_gemma":[0.1853815,0.000402333,0.001300509,0.01243583,0.001916996,0.003843303,0.003288835,0.0007458556,0.0007256493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528355,"about_ca_system_score_gemma":0.00214577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937294,"about_ca_topic_score_gemma":0.002538047,"domain_scores_codex":[0.9601497,0.02114814,0.004939691,0.001799591,0.0110329,0.0009300007],"domain_scores_gemma":[0.6492488,0.2956142,0.02316606,0.006197799,0.0231144,0.002658689],"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":[0.001494169,0.0005625262,0.3852174,0.02253922,0.0008888324,0.000979716,0.09501611,0.002340732,0.006770291,0.01095824,0.006442292,0.4667906],"study_design_scores_gemma":[0.0002443489,0.002266982,0.6380749,0.0154109,0.001425423,0.002019965,0.1475077,0.004524499,0.009690032,0.01317076,0.1652402,0.000424211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824145,0.0242537,0.04797218,0.001414547,0.0003949599,0.00145003,0.001353503,0.0002733789,0.0404731],"genre_scores_gemma":[0.9693915,0.005760283,0.02039577,0.000307115,0.0001233379,0.001202852,0.0007962316,0.0001536094,0.001869352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0340513,"threshold_uncertainty_score":0.1800826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640725577855235,"score_gpt":0.3066996099554681,"score_spread":0.2702923541769158,"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."}}