{"id":"W2423067156","doi":"10.1002/wcm.2700","title":"Power efficient multicasting for pre‐cached multiple description traffic in a wireless network","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Multicast; Computer network; Transmitter power output; Transmission (telecommunications); Cache; Wireless; Power (physics); Heuristic; Telecommunications; Channel (broadcasting)","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":[0.001158618,0.0007488368,0.0009419714,0.0007507924,0.0006408099,0.0007467673,0.001115881,0.0008182953,0.0008971137],"category_scores_gemma":[0.002942543,0.0003823659,0.000428107,0.0009649203,0.000575937,0.001220078,0.0006461392,0.000530956,0.000122258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226985,"about_ca_system_score_gemma":0.0004268511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870788,"about_ca_topic_score_gemma":0.00289635,"domain_scores_codex":[0.9994856,0.0002555766,0.00001407157,0.00004527189,0.0001012786,0.00009812778],"domain_scores_gemma":[0.9977738,0.001733119,0.0001794332,0.00008776799,0.0001611194,0.00006458953],"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":[0.0001029704,0.00005557367,0.0005549515,0.00005808417,0.00002029913,0.0001298617,0.00004658088,0.9785404,0.003906462,0.003634931,0.0004072351,0.01254271],"study_design_scores_gemma":[0.000005729776,0.00002392679,0.00006975425,0.000001433695,0.000003168072,0.00001410192,0.000009620566,0.9987703,0.0002885727,0.000756578,0.00005494338,0.000001725221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3920588,0.001023193,0.6027536,0.000429729,0.0000506476,0.0000829224,0.00007191573,0.0001828516,0.003346393],"genre_scores_gemma":[0.9673711,0.000314011,0.03110408,0.00003927633,0.00003051682,0.00003382217,0.00004504342,0.00002193272,0.001040199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003870788,"threshold_uncertainty_score":0.00890249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814377066632176,"score_gpt":0.2671752491739445,"score_spread":0.2390314785076228,"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."}}