{"id":"W1970430051","doi":"10.1002/wcm.1016","title":"An efficient mesh‐based multicast routing protocol in mobile<i>ad hoc</i>networks","year":2010,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Computer network; Multicast; Protocol Independent Multicast; Distance Vector Multicast Routing Protocol; Distributed computing; Source-specific multicast; Xcast; Reliable multicast; Pragmatic General Multicast; Wireless mesh network; Wireless network; Wireless; 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":[0.0004944229,0.0002263334,0.0002868008,0.0005345163,0.0003757523,0.0005101862,0.0007992949,0.0004243414,0.0005213646],"category_scores_gemma":[0.0009783789,0.0001250697,0.0002302506,0.0003924144,0.0002713338,0.0007298068,0.0005798482,0.0003405308,0.0001805607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590979,"about_ca_system_score_gemma":0.0003334663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005972457,"about_ca_topic_score_gemma":0.0007089326,"domain_scores_codex":[0.9997242,0.0001151775,0.0000183005,0.000029856,0.00008402454,0.00002836119],"domain_scores_gemma":[0.9996518,0.0001157618,0.00005395751,0.0000476464,0.0001047646,0.00002603821],"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":[0.0007983967,0.0002106222,0.003076881,0.0003032456,0.0001676439,0.0006781729,0.0003646239,0.3048075,0.1927148,0.07982954,0.01221979,0.4048288],"study_design_scores_gemma":[0.0000674582,0.0004990641,0.0007103176,0.0000222844,0.00007401779,0.0003169469,0.00006581483,0.9462508,0.02876705,0.01132819,0.01186529,0.0000327696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.126016,0.00112604,0.8672164,0.0003540129,0.0001661514,0.0001304814,0.00008459904,0.001080827,0.003825488],"genre_scores_gemma":[0.802565,0.0003909295,0.194516,0.00009342004,0.0000737971,0.0001180455,0.000225048,0.0000417112,0.001975998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007992949,"threshold_uncertainty_score":0.002614796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471315100911096,"score_gpt":0.2996310411718368,"score_spread":0.2849178901627258,"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."}}