{"id":"W2170774653","doi":"10.1109/vetecs.2007.32","title":"Multicast Capacity of Wireless Ad Hoc Networks with Hierarchical Routing","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer network; Multicast; Computer science; Wireless ad hoc network; Optimized Link State Routing Protocol; Distributed computing; Ad hoc wireless distribution service; Geocast; Protocol Independent Multicast; Vehicular ad hoc network; Routing (electronic design automation); Routing protocol; Wireless; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0007619378,0.0001670589,0.0002481737,0.00005843199,0.00009003458,0.00005404722,0.0007520088,0.0001112398,0.00001630524],"category_scores_gemma":[0.00001710296,0.0001273379,0.00005630517,0.0005351513,0.0001783217,0.0002337724,0.0002682994,0.0003746542,0.000006596488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757988,"about_ca_system_score_gemma":0.0000354416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003307245,"about_ca_topic_score_gemma":0.000385197,"domain_scores_codex":[0.9982548,0.00005752603,0.0003560133,0.0004112419,0.000353203,0.0005671558],"domain_scores_gemma":[0.9985329,0.0003791033,0.0001271838,0.0006583146,0.0001072214,0.0001952821],"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":[0.0001318525,0.0003379183,0.0128333,0.00002774881,0.0001040908,0.0001203245,0.001489808,0.01987275,0.0006958856,0.2089173,0.000313327,0.7551557],"study_design_scores_gemma":[0.0005983327,0.0002224418,0.01408959,0.00006601812,0.000007758856,0.00005087495,0.0000440916,0.9826336,0.001445443,0.0001846256,0.0003816547,0.0002756078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2203954,0.00005499604,0.7761326,0.0000831729,0.0001210771,0.0001454127,2.431431e-7,0.0001327241,0.002934394],"genre_scores_gemma":[0.8462963,0.000009458378,0.1533553,0.000164946,0.00008734909,0.000003925463,6.793765e-7,0.00001132178,0.00007074726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9627608,"threshold_uncertainty_score":0.5192689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407666859084233,"score_gpt":0.2300026557654364,"score_spread":0.215925987174594,"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."}}