{"id":"W4403780640","doi":"10.1145/3664647.3681432","title":"HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets","year":2024,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Videoconferencing; Virtual reality; Multimedia; Teleconference; Human–computer interaction; Computer graphics (images)","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":[0.0002762714,0.0004766397,0.0002528811,0.0003529717,0.000173854,0.0004373959,0.0009100969,0.0005186991,0.004093577],"category_scores_gemma":[0.0008429411,0.0001771014,0.000249619,0.0001058722,0.0002727612,0.0005075405,0.001009456,0.0004554247,0.0005692944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149691,"about_ca_system_score_gemma":0.0002158263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019461,"about_ca_topic_score_gemma":0.001040176,"domain_scores_codex":[0.9996783,0.00006225947,0.00001091458,0.00005354852,0.0001445437,0.0000504059],"domain_scores_gemma":[0.9997322,0.0001016654,0.00003407046,0.00004369522,0.00005064589,0.0000376791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006952856,0.0003236712,0.002334155,0.0001916935,0.00008281846,0.0007889946,0.0003574846,0.02520823,0.6861907,0.004257657,0.006642065,0.2729273],"study_design_scores_gemma":[0.0001888291,0.001631043,0.007169036,0.00004990112,0.00009605656,0.001634998,0.0002157862,0.5480478,0.4127339,0.003001593,0.02506017,0.0001709347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2686233,0.0003610337,0.7110654,0.000265642,0.0001610171,0.0002907987,0.0002080332,0.01026723,0.008757537],"genre_scores_gemma":[0.9268141,0.0001469234,0.06813887,0.0001740445,0.00004778734,0.00008009792,0.0001322603,0.000153225,0.004312581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004093577,"threshold_uncertainty_score":0.01369441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674149153451462,"score_gpt":0.2975030385300821,"score_spread":0.2607615469955675,"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."}}