{"id":"W4399144559","doi":"10.1109/vrw62533.2024.00363","title":"[DC] Supporting Complex Interactions in Mobile Virtual Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction; Fidelity; Mobile device; Mobile computing; Multimedia; Mobile technology; Mixed reality; World Wide Web; Telecommunications","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":[0.0002878135,0.0002963756,0.0002612212,0.0003297803,0.0005130581,0.001777666,0.000662216,0.0007022781,0.0288624],"category_scores_gemma":[0.0009789272,0.0001768321,0.0002550918,0.0004628596,0.0003024363,0.001123862,0.001273644,0.0005845551,0.009513095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980459,"about_ca_system_score_gemma":0.0005103768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336148,"about_ca_topic_score_gemma":0.003207288,"domain_scores_codex":[0.9998462,0.00003260222,0.000007805928,0.00002003101,0.00006793135,0.00002545859],"domain_scores_gemma":[0.9997297,0.00003642985,0.00001003137,0.0000628421,0.0001018173,0.00005919463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001732074,0.0001005135,0.0007272693,0.0006780414,0.00002359915,0.0006039662,0.001562817,0.005251777,0.05816238,0.1280801,0.1647268,0.6399095],"study_design_scores_gemma":[0.00005438824,0.0001485141,0.001145324,0.0001770458,0.00002537353,0.0006910721,0.000438056,0.02203575,0.01295105,0.0086197,0.9536664,0.00004741977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02104323,0.00297088,0.4898605,0.003084389,0.001962648,0.0004397192,0.0008971705,0.006460018,0.4732815],"genre_scores_gemma":[0.337643,0.006347064,0.3087562,0.00193009,0.0008938384,0.0007200944,0.001806979,0.001041179,0.3408615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0288624,"threshold_uncertainty_score":0.09655428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776703650682628,"score_gpt":0.3671452295100747,"score_spread":0.3193781930032484,"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."}}