{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000146525,0.0001792334,0.000155787,0.000350492,0.00007227991,0.0001127187,0.0003788438,0.00006051662,0.00001564854],"category_scores_gemma":[0.00004426063,0.0001568201,0.00008184859,0.0005428782,0.00007063933,0.0008973551,0.0002095609,0.0003380849,0.0001345333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379424,"about_ca_system_score_gemma":0.00001898836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002672419,"about_ca_topic_score_gemma":0.00002845898,"domain_scores_codex":[0.9988082,0.00007411298,0.0002046866,0.0004505409,0.0002045529,0.0002579067],"domain_scores_gemma":[0.9995587,0.0001454127,0.00003623795,0.0001932065,0.0000275916,0.00003879037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001171531,0.0006042494,0.01829589,0.0001481188,0.001451502,0.0001650108,0.1170222,0.002224488,0.6186892,0.2183368,0.01482326,0.008122211],"study_design_scores_gemma":[0.001011882,0.00189638,0.04547089,0.001050598,0.00007550755,0.00005284556,0.01676874,0.1222079,0.7488115,0.01142556,0.04948804,0.001740179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.638203,0.001197178,0.358085,0.0002501238,0.001793055,0.0001316716,0.000005498237,0.00005337831,0.0002810399],"genre_scores_gemma":[0.998963,0.0002683156,0.0001806983,0.0001167565,0.00002708633,0.00001734257,0.000002791319,0.00001212425,0.000411868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.36076,"threshold_uncertainty_score":0.6394939,"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."}}