{"id":"W7131286450","doi":"10.1109/vcip67698.2025.11396899","title":"LiV: Live DASH Streaming for Volumetric Video","year":2025,"lang":"","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Encoder; High fidelity; Encoding (memory); Bandwidth (computing); Data compression; Dynamic Adaptive Streaming over HTTP; Ranging; Fidelity; Codec","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001329172,0.0004192121,0.0005546221,0.0007514536,0.0006092508,0.001370212,0.001721752,0.0002105399,0.0003045497],"category_scores_gemma":[0.000633799,0.0004270665,0.0003924181,0.002551498,0.0001068369,0.001213207,0.001171861,0.0002924612,0.0002840109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765172,"about_ca_system_score_gemma":0.001116045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007511423,"about_ca_topic_score_gemma":0.0001058109,"domain_scores_codex":[0.9961827,0.000218478,0.0009364288,0.001210028,0.0004973136,0.0009550593],"domain_scores_gemma":[0.9961831,0.001478589,0.0002388582,0.001329771,0.0005811512,0.0001885333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002559546,0.0005955051,0.0009926929,0.0004826421,0.0002372388,0.00001263181,0.001460559,0.00006218819,0.0001545584,0.1300551,0.0561967,0.8097246],"study_design_scores_gemma":[0.002260771,0.0008931159,0.005491691,0.0005712772,0.0002508998,0.00000531105,0.001940114,0.87602,0.006842761,0.01263972,0.09204827,0.001036134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001609631,0.00202333,0.9679039,0.005043165,0.002486511,0.001104581,0.00001638707,0.0001699558,0.01964256],"genre_scores_gemma":[0.7141094,0.0002949003,0.1750143,0.007106481,0.0004012269,0.0001755349,0.00001065224,0.00002676979,0.1028608],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8759578,"threshold_uncertainty_score":0.9998181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042470325330795,"score_gpt":0.3430409904703146,"score_spread":0.3126162872170066,"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."}}