{"id":"W4402811035","doi":"10.1109/iccc62479.2024.10681793","title":"Viewing Distance-Aware Volumetric Video Caching and Rendering for XR Services","year":2024,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); Computer vision; Multimedia","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":[0.0007488,0.001319863,0.001317232,0.0005582096,0.0005085536,0.001436992,0.00259357,0.0008121828,0.002107836],"category_scores_gemma":[0.002892246,0.0003995289,0.0008621928,0.001081526,0.0005672278,0.002056887,0.001487243,0.001503357,0.0006347356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026945,"about_ca_system_score_gemma":0.001128048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852314,"about_ca_topic_score_gemma":0.00747794,"domain_scores_codex":[0.998903,0.000275041,0.0000511508,0.0001702656,0.0004190085,0.0001813605],"domain_scores_gemma":[0.9987463,0.0004288916,0.0001227232,0.0003430014,0.0002718501,0.00008725602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006121636,0.0003609338,0.002350794,0.0004120664,0.0001664883,0.0006482208,0.0004588283,0.5629358,0.07879356,0.03003397,0.009039464,0.3141877],"study_design_scores_gemma":[0.00001477793,0.00006306873,0.0002925486,0.00001259986,0.00002704614,0.0002409294,0.00005665821,0.9887835,0.005497371,0.002716078,0.002267681,0.00002766066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0177649,0.000806092,0.9774495,0.0001597528,0.00005467079,0.00008352262,0.00007870769,0.00104561,0.00255742],"genre_scores_gemma":[0.658517,0.001150015,0.3360807,0.000190706,0.0001607569,0.0001017927,0.0002760125,0.0003412944,0.003181739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007852314,"threshold_uncertainty_score":0.0156132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534090839452068,"score_gpt":0.2385236277957943,"score_spread":0.2231827194012736,"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."}}