{"id":"W3203342688","doi":"10.1109/taes.2021.3115587","title":"Flexible Task Scheduling in Data Relay Satellite Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Satellite Communication Systems","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Relay; Tabu search; Heuristic; Distributed computing; Real-time computing; Mathematical optimization; Algorithm; 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":[0.0009992798,0.0006756085,0.0006602303,0.0005545159,0.0007312072,0.0006136347,0.001043647,0.0003945561,0.0007930982],"category_scores_gemma":[0.001780413,0.0003357367,0.0004286939,0.0007360377,0.0004335908,0.0007751686,0.0006208671,0.0004798899,0.0001738343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271324,"about_ca_system_score_gemma":0.001582918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007987934,"about_ca_topic_score_gemma":0.004916546,"domain_scores_codex":[0.9992905,0.0002618894,0.00003832248,0.0001314062,0.0001436607,0.000134231],"domain_scores_gemma":[0.9993796,0.0002827669,0.00009668864,0.00007316918,0.00009447408,0.0000732487],"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":[0.0001812929,0.00005715677,0.0007422014,0.0001010146,0.00002150321,0.00008167965,0.0001578653,0.9285064,0.007981685,0.005172329,0.0009446841,0.05605216],"study_design_scores_gemma":[0.00001487487,0.00004585926,0.0001435655,0.000002505179,0.000004656818,0.00001646196,0.00002621598,0.996027,0.001405991,0.001679912,0.0006279134,0.000005056693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1804838,0.0006837976,0.8151603,0.0001552859,0.00004303194,0.0001450827,0.0001143261,0.0007256213,0.002488611],"genre_scores_gemma":[0.8487312,0.0002358191,0.1496696,0.00003558873,0.00002065719,0.0001595271,0.0001576582,0.00006751925,0.0009224744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007987934,"threshold_uncertainty_score":0.01588291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642455124283925,"score_gpt":0.2469563455025013,"score_spread":0.2205317942596621,"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."}}