{"id":"W4308842746","doi":"10.1145/3565970.3567682","title":"Group-based Object Alignment in Virtual Reality Environments","year":2022,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Human–computer interaction; Virtual reality; Usability; Task (project management); Object (grammar); Set (abstract data type); Interface (matter); Interaction technique; Workload; User interface; 3D interaction; Artificial intelligence; 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":[0.0002595423,0.00008597154,0.00008739913,0.00008065721,0.0001123375,0.00002289728,0.0004977183,0.00001277806,0.0004809018],"category_scores_gemma":[0.00000617073,0.00008508922,0.00005235567,0.0001587817,0.000016037,0.0002146093,0.0003804226,0.0001260746,0.00006797558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821735,"about_ca_system_score_gemma":0.00002369492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960353,"about_ca_topic_score_gemma":0.00001586103,"domain_scores_codex":[0.9988566,0.0001709383,0.0001440241,0.000309662,0.0003122848,0.0002065108],"domain_scores_gemma":[0.9995511,0.0000535154,0.00004237536,0.0003119158,0.000003510719,0.00003757959],"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":[0.000356498,0.00494404,0.01395172,0.0000138917,0.0001146226,0.0004538095,0.006447826,0.03713772,0.4031595,0.4914766,0.03011186,0.01183196],"study_design_scores_gemma":[0.006766169,0.004080234,0.2166752,0.00002421089,0.00001849434,0.00003236061,0.006058599,0.3386153,0.2814803,0.00450289,0.1400002,0.001746033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09434203,0.00001421244,0.884915,0.001417643,0.0005534111,0.0002861744,0.00001543338,0.00002113926,0.01843498],"genre_scores_gemma":[0.9961406,9.230244e-7,0.0002712561,0.002823768,0.000008548667,0.00005726984,0.00001492401,0.000003958408,0.0006787542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9017985,"threshold_uncertainty_score":0.5265538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497743566450528,"score_gpt":0.2467570332759567,"score_spread":0.2317795976114514,"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."}}