{"id":"W2096798349","doi":"10.1109/sdne.1995.470468","title":"Mobile IP-based multicast as a service for mobile hosts","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multicast; Computer network; Computer science; IP multicast; Xcast; Protocol Independent Multicast; Distance Vector Multicast Routing Protocol; Source-specific multicast; Distributed computing; Multicast address; Inter-domain; Pragmatic General Multicast; Mobile computing; Mobile IP","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":[0.0004673701,0.0002724739,0.0002834722,0.0006924269,0.0006923081,0.001310666,0.0006817423,0.0009417085,0.006010161],"category_scores_gemma":[0.001054196,0.0001745505,0.0002019422,0.0006149946,0.0003096815,0.001127859,0.0009077071,0.0006360888,0.003873103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004991317,"about_ca_system_score_gemma":0.000365316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005986659,"about_ca_topic_score_gemma":0.0007432384,"domain_scores_codex":[0.9996966,0.00008968256,0.00001728333,0.00002488019,0.0001288792,0.00004277004],"domain_scores_gemma":[0.999644,0.00004273261,0.00002025449,0.000113095,0.0001236355,0.00005629183],"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":[0.0005374778,0.0001185902,0.001248956,0.000275706,0.00004984809,0.0008302653,0.0005444691,0.005616685,0.06729278,0.1984112,0.1301215,0.5949525],"study_design_scores_gemma":[0.0001052682,0.0003087688,0.001186933,0.00009550709,0.00007242316,0.001143148,0.0001536333,0.1357798,0.02550768,0.05356287,0.782032,0.00005193987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03087302,0.004708509,0.8088577,0.002963296,0.001408158,0.000389397,0.0005595464,0.01571181,0.1345286],"genre_scores_gemma":[0.5542024,0.005152619,0.3325527,0.001092702,0.001901823,0.0003622528,0.001746831,0.0009413989,0.1020472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006010161,"threshold_uncertainty_score":0.02010602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200700151848717,"score_gpt":0.2612552296638821,"score_spread":0.2411852144790104,"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."}}