{"id":"W3053413905","doi":"10.1145/3388770.3407443","title":"Dynamic Foveated Rendering for Redirected Walking in Virtual Reality","year":2020,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Virtual reality; Computer science; Rendering (computer graphics); Computer graphics (images); Real-time rendering; Human–computer interaction","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":[0.0002263183,0.0005813423,0.0005671373,0.00028873,0.0002208616,0.0008201181,0.000694019,0.0005444675,0.01690229],"category_scores_gemma":[0.001146378,0.0002891115,0.0004132017,0.0002844865,0.0003127703,0.0006079418,0.0009902098,0.0006183818,0.001175069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906595,"about_ca_system_score_gemma":0.0002533278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219833,"about_ca_topic_score_gemma":0.002640804,"domain_scores_codex":[0.9998416,0.00005410751,0.000004677676,0.00002113129,0.0000524453,0.00002601743],"domain_scores_gemma":[0.999745,0.0001390817,0.000008577926,0.00004807306,0.00002931235,0.00002997461],"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":[0.002447056,0.0002432439,0.0006583544,0.0008022996,0.0001182085,0.001619528,0.001066149,0.08187289,0.2773816,0.02271671,0.0228686,0.5882053],"study_design_scores_gemma":[0.0003807121,0.0007856153,0.003193158,0.0002902164,0.0001504012,0.00265446,0.0003328915,0.8663778,0.06327291,0.01614495,0.04623531,0.0001815425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05528966,0.001630123,0.9248928,0.0002468879,0.0002614684,0.00007588322,0.0002577154,0.005210153,0.01213526],"genre_scores_gemma":[0.6866422,0.001499152,0.2994702,0.0001068134,0.00008098355,0.00009667095,0.0002499539,0.001067186,0.0107868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01690229,"threshold_uncertainty_score":0.05654383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789095661753865,"score_gpt":0.3100177745723166,"score_spread":0.2721268179547779,"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."}}