{"id":"W2118711662","doi":"10.1109/rws.2008.4463619","title":"Optimal power allocation for multiple beam satellite systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Canadian Space Agency; Eion (Canada)","funders":"","keywords":"Computer science; Lagrange multiplier; Power (physics); Mathematical optimization; Communications satellite; Bandwidth (computing); Constraint (computer-aided design); Satellite; Throughput; Power budget; Heuristic; Resource allocation; Real-time computing; Electric power system; Engineering; Telecommunications; Computer network; Aerospace engineering; Mathematics; Wireless; Artificial intelligence","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":[0.0006248376,0.0006510458,0.0007491087,0.0006593525,0.0003959534,0.0006902207,0.0004990294,0.0005763606,0.002285005],"category_scores_gemma":[0.001366335,0.0004651419,0.0002758966,0.0006882331,0.0005771844,0.0007752576,0.0005454718,0.0004358262,0.0002883856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428953,"about_ca_system_score_gemma":0.0008613073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792251,"about_ca_topic_score_gemma":0.002537783,"domain_scores_codex":[0.9995404,0.0001945633,0.00001264122,0.00005855989,0.0001095124,0.00008429576],"domain_scores_gemma":[0.9996638,0.0001941846,0.00004883834,0.00001618893,0.0000544402,0.00002242756],"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":[0.00004964167,0.00001935447,0.0001638898,0.00003149037,0.00001525032,0.00003443911,0.00002563921,0.9713382,0.001666964,0.005758493,0.0004995316,0.02039706],"study_design_scores_gemma":[0.00001779642,0.00002303401,0.00006708839,0.000002573645,0.000003606312,0.00001166995,0.00001028894,0.9955549,0.0003345242,0.003602436,0.0003686869,0.0000033974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05729765,0.0006733442,0.9342863,0.0002779764,0.00004282274,0.00006329032,0.00004144423,0.0002052598,0.007111932],"genre_scores_gemma":[0.8890367,0.0003327143,0.1067113,0.00006502414,0.00004411084,0.000109095,0.00004557535,0.00005106374,0.003604503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002792251,"threshold_uncertainty_score":0.007644117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615480884101809,"score_gpt":0.234739893983454,"score_spread":0.1985850851424359,"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."}}