{"id":"W2126534256","doi":"10.1155/2009/764047","title":"Multicast Routing Protocols in Mobile Ad Hoc Networks: A Comparative Survey and Taxonomy","year":2009,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Multicast; Computer network; Geocast; Mobile ad hoc network; Protocol Independent Multicast; Distributed computing; Xcast; Wireless ad hoc network; Routing protocol; Distance Vector Multicast Routing Protocol; Routing (electronic design automation); Optimized Link State Routing Protocol; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.001975996,0.0002786723,0.000471089,0.0001550174,0.000793783,0.0007284806,0.001376285,0.0001033638,0.000001774161],"category_scores_gemma":[0.00001484635,0.000259687,0.0000544414,0.0007064589,0.0001476972,0.0005251142,0.0004985183,0.001190259,0.000001729116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008822224,"about_ca_system_score_gemma":0.00005265041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004872191,"about_ca_topic_score_gemma":0.0001934006,"domain_scores_codex":[0.9970517,0.001142671,0.0007006639,0.0003863287,0.0002068718,0.0005117721],"domain_scores_gemma":[0.9968346,0.001263876,0.0004647796,0.001090234,0.0001255338,0.0002209474],"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":[0.00005480626,0.0002454692,0.02363133,0.000003424648,0.00002363054,0.00001779424,0.001070616,0.005544832,0.00001327113,0.002260141,0.0001021441,0.9670326],"study_design_scores_gemma":[0.001065933,0.0005065663,0.06625754,0.0007528598,0.000005293329,0.0001433769,0.000118886,0.904665,0.000003538235,0.0002108718,0.02589686,0.0003733051],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3403997,0.09880385,0.5277603,0.002302192,0.0007561651,0.02609707,0.000006680508,0.0004354947,0.003438548],"genre_scores_gemma":[0.9758994,0.01054927,0.01202403,0.000277169,0.0001388583,0.001081084,0.000004811738,0.00001369162,0.00001166776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9666592,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09889582834060706,"score_gpt":0.3366526303928917,"score_spread":0.2377568020522846,"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."}}