{"id":"W4409316248","doi":"10.1145/3728472","title":"Implicit Representation-based Volumetric Video Streaming for Photorealistic Full-scene Experience","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer graphics (images); Representation (politics); Multimedia; Computer vision; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003188233,0.0002173723,0.0002485719,0.0004647104,0.001675643,0.0002867377,0.002179139,0.0000870835,0.000005295788],"category_scores_gemma":[0.0001532848,0.0002407025,0.0001236006,0.001627019,0.0002195502,0.0002362219,0.0001334414,0.0002565499,0.000007436694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098159,"about_ca_system_score_gemma":0.0001697441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002899627,"about_ca_topic_score_gemma":0.00006237572,"domain_scores_codex":[0.998207,0.000134691,0.0005551661,0.0006062281,0.0001903228,0.0003065554],"domain_scores_gemma":[0.9917697,0.004103244,0.0001842194,0.00351554,0.000311587,0.0001157662],"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":[0.00001223616,0.0006782574,0.0002598833,0.00005795941,0.00006260497,2.086033e-7,0.0008087886,0.001840955,0.00244322,0.01284616,0.0001492673,0.9808404],"study_design_scores_gemma":[0.000862929,0.00007156334,0.002158723,0.00007963565,0.00006186008,0.000002731248,0.0004856604,0.9814913,0.002391275,0.002966034,0.009139553,0.000288697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009597301,0.0002279333,0.9926253,0.004249429,0.00009713982,0.001247976,0.000054287,0.000286752,0.0002514723],"genre_scores_gemma":[0.5426691,0.0000905872,0.4553352,0.000507243,0.00002071052,0.001242747,0.00005828364,0.00001033683,0.00006581601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9805518,"threshold_uncertainty_score":0.999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04267076929791376,"score_gpt":0.3773946450229037,"score_spread":0.3347238757249899,"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."}}