{"id":"W2056880433","doi":"10.1145/1925101.1925102","title":"Optimal layered multicast","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multicast; Computer science; Linear network coding; Computer network; Throughput; Distributed computing; Node (physics); Source-specific multicast; Application layer; Coding (social sciences); Xcast; Reliable multicast; Mathematics","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":[0.001344862,0.0008497787,0.0009609982,0.0008124207,0.0008835879,0.001457606,0.001561349,0.001206011,0.004641095],"category_scores_gemma":[0.006011198,0.0005753724,0.001060502,0.0008544099,0.0008057342,0.002387785,0.001754333,0.001164919,0.0007111856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936851,"about_ca_system_score_gemma":0.001541348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209194,"about_ca_topic_score_gemma":0.002398154,"domain_scores_codex":[0.9987879,0.0004424241,0.00006274759,0.0001768199,0.0003190027,0.0002111266],"domain_scores_gemma":[0.998322,0.000925822,0.0001979949,0.0002052999,0.0002511912,0.00009770649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001275887,0.00005373861,0.0003761241,0.0001615319,0.00004281569,0.00008150849,0.00009413044,0.8005878,0.002600717,0.147577,0.004778408,0.04351863],"study_design_scores_gemma":[0.00001516318,0.00002980281,0.00007199756,0.00001467047,0.00001200937,0.00003383851,0.00002049599,0.9395879,0.0007036945,0.05765009,0.001850249,0.00001005397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01931751,0.0005483445,0.9654898,0.0004074675,0.0000896272,0.00008204662,0.0002141258,0.0003923793,0.01345866],"genre_scores_gemma":[0.6411051,0.001242653,0.3470575,0.0003989248,0.0001086159,0.0003226166,0.0004696144,0.0002518524,0.009043107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004641095,"threshold_uncertainty_score":0.015526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07960425991603445,"score_gpt":0.3062453325447347,"score_spread":0.2266410726287003,"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."}}