{"id":"W2016444633","doi":"10.1049/iet-com:20060224","title":"Cross-layer distributed approach for optimal rate allocation for homogeneous wireless multicast","year":2007,"lang":"en","type":"article","venue":"IET Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multicast; Computer science; Computer network; Source-specific multicast; Distributed computing; Xcast; Pragmatic General Multicast; Wireless network; Protocol Independent Multicast; Wireless ad hoc network; Asynchronous communication; Distributed algorithm; Heterogeneous network; Wireless","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":[0.001207486,0.0001758851,0.0001923524,0.00006497315,0.0007061006,0.0002711894,0.003058586,0.0001350035,0.000002277193],"category_scores_gemma":[0.0001209663,0.000187088,0.0001324745,0.0004151252,0.0001848063,0.0003313347,0.0005776003,0.0001799708,0.000008152489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009517336,"about_ca_system_score_gemma":0.00008029058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877126,"about_ca_topic_score_gemma":0.00004912672,"domain_scores_codex":[0.9984698,0.00008458354,0.0004482907,0.0003962256,0.0001335789,0.0004674715],"domain_scores_gemma":[0.9949483,0.001151502,0.0001854016,0.003055674,0.000528204,0.0001309752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002318905,0.002469847,0.001158267,0.000138427,0.000284238,0.000002502695,0.002276438,0.1326874,0.009241479,0.6161347,0.004640361,0.2307345],"study_design_scores_gemma":[0.000738884,0.00008036452,0.001437886,0.000008910276,0.00001962493,0.000009564686,0.00004329892,0.9808857,0.001787563,0.0004856114,0.01426599,0.0002365331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005367893,0.0001685754,0.9914504,0.0006148569,0.0001338313,0.00147074,0.0001196698,0.0002247837,0.0004492233],"genre_scores_gemma":[0.5756896,0.00001994284,0.4226955,0.0001107862,0.00005667918,0.0007073065,0.0005509508,0.00001747886,0.0001517512],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8481984,"threshold_uncertainty_score":0.7629227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813557615985369,"score_gpt":0.3299883542239474,"score_spread":0.2818527780640937,"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."}}