{"id":"W4416333044","doi":"10.1145/3756884.3766004","title":"Effects of Virtual Controller Representation and Virtuality on Selection Performance in Extended Reality","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Carleton University","funders":"","keywords":"Virtual reality; Selection (genetic algorithm); Representation (politics); Controller (irrigation); Virtuality (gaming); Control (management); Virtual machine","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":[0.001197393,0.0008940311,0.0004613909,0.0003310447,0.000248125,0.001447758,0.0006158562,0.0007425807,0.005891091],"category_scores_gemma":[0.01519451,0.0004899013,0.0002892808,0.0001611055,0.000633743,0.001488469,0.001739253,0.0005089488,0.000434565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541235,"about_ca_system_score_gemma":0.0001367357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004777019,"about_ca_topic_score_gemma":0.0003435591,"domain_scores_codex":[0.9985554,0.0006339118,0.0001261926,0.0002857807,0.0002425819,0.0001562193],"domain_scores_gemma":[0.9885783,0.00874969,0.001069755,0.0008490905,0.0003066431,0.0004465468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02170569,0.002239499,0.01255624,0.001479011,0.000329553,0.0006855661,0.007134691,0.01257073,0.8267611,0.00161899,0.0006022836,0.1123165],"study_design_scores_gemma":[0.002895776,0.1009009,0.532369,0.0007374879,0.002051887,0.005037282,0.007142498,0.07704526,0.2515756,0.008113887,0.01113073,0.0009998094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927368,0.0001574617,0.004978771,0.00003779437,0.00001660885,0.00003297304,0.00005090456,0.0001105226,0.001878239],"genre_scores_gemma":[0.993845,0.0001049227,0.005286675,0.00003523517,0.00001198615,0.00004541166,0.00006686398,0.00004638224,0.000557507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005891091,"threshold_uncertainty_score":0.01970762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185880303671339,"score_gpt":0.3131390625687588,"score_spread":0.2912802595320454,"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."}}