{"id":"W2162433845","doi":"10.1162/1054746041422325","title":"End System Multicast Protocol for Collaborative Virtual Environments","year":2004,"lang":"en","type":"article","venue":"PRESENCE Virtual and Augmented Reality","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multicast; Computer science; Computer network; IP multicast; Source-specific multicast; Protocol Independent Multicast; Pragmatic General Multicast; Xcast; Distributed computing; Protocol (science); Inter-domain; Scalability; Application layer; Reliable multicast; Software deployment; Operating system","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":[0.001508564,0.0004525656,0.0005288641,0.0007957584,0.001406276,0.001680375,0.001273974,0.002216453,0.005750882],"category_scores_gemma":[0.002861609,0.0002595205,0.0003611894,0.0007715424,0.00092397,0.002753492,0.002610325,0.002586616,0.002590045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600951,"about_ca_system_score_gemma":0.0009823556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005566908,"about_ca_topic_score_gemma":0.0006573028,"domain_scores_codex":[0.9985935,0.0004914785,0.0001378836,0.0001090282,0.000568233,0.00009993497],"domain_scores_gemma":[0.9989443,0.0002978675,0.00007915997,0.0002354035,0.0003759822,0.00006728838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000181862,0.0001073863,0.0002694668,0.0005233873,0.00004470124,0.001096197,0.001109236,0.004962816,0.03040103,0.6760007,0.06824236,0.2170607],"study_design_scores_gemma":[0.00009669632,0.0002025662,0.0003558718,0.0001745704,0.00006446231,0.001654404,0.0002043835,0.04019459,0.01951213,0.1198268,0.8176139,0.00009970966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002761893,0.002595541,0.9455304,0.002106982,0.001507002,0.0006174254,0.0003463149,0.001887367,0.04264717],"genre_scores_gemma":[0.1543646,0.005674663,0.7463869,0.003793146,0.001442623,0.003499327,0.00228994,0.0008367012,0.08171199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005750882,"threshold_uncertainty_score":0.01923865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542053320255956,"score_gpt":0.3012817380715596,"score_spread":0.2658612048690001,"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."}}