{"id":"W3192883372","doi":"10.1109/tmc.2021.3076088","title":"Joint Observation and Transmission Scheduling in Agile Satellite Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Satellite Communication Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Basic Research Program of Shaanxi Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Initialization; Agile software development; Scheduling (production processes); Data transmission; Integer programming; Real-time computing; Population; Transmission (telecommunications); Algorithm; Mathematical optimization; Computer network; Telecommunications","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":[0.00122059,0.0006631099,0.0007457308,0.000318227,0.0004919094,0.0006402291,0.0008638366,0.0005143243,0.001055157],"category_scores_gemma":[0.001848433,0.0004110973,0.0004403621,0.0006809449,0.0006088965,0.0007537359,0.000799285,0.0007105211,0.0001524986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626627,"about_ca_system_score_gemma":0.001270247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004613687,"about_ca_topic_score_gemma":0.003495826,"domain_scores_codex":[0.9992247,0.0003043827,0.00002823904,0.0001580868,0.0001230932,0.0001615617],"domain_scores_gemma":[0.9990458,0.0005241496,0.0001778481,0.0000656744,0.00009319555,0.00009333681],"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":[0.00006248816,0.00002739851,0.0003503904,0.00003615779,0.00001517982,0.00007603617,0.00005841894,0.9754509,0.001773683,0.005377362,0.00038535,0.01638659],"study_design_scores_gemma":[0.000009986182,0.00003022058,0.00008263836,0.000001998286,0.000004196514,0.00001506894,0.00001945787,0.996639,0.000428199,0.002514734,0.0002511348,0.000003401135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05518207,0.0002055292,0.942491,0.00012094,0.00003298977,0.00005923096,0.00004927025,0.000151397,0.001707602],"genre_scores_gemma":[0.8394242,0.0002593709,0.1579876,0.00005684498,0.00004604922,0.0001765367,0.0000896755,0.00005735418,0.001902413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004613687,"threshold_uncertainty_score":0.009173691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943505902220186,"score_gpt":0.2416085747438181,"score_spread":0.2121735157216162,"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."}}