{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005026125,0.0002400235,0.000344306,0.0001344397,0.0001229699,0.0001514376,0.0003522433,0.0001977447,0.00001196573],"category_scores_gemma":[0.000004942038,0.0002673506,0.00004638095,0.0006820788,0.00003127686,0.0002221822,0.00000553577,0.000692823,0.0000510485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002511059,"about_ca_system_score_gemma":0.00008541967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076067,"about_ca_topic_score_gemma":0.0008524284,"domain_scores_codex":[0.9982229,0.0001600816,0.0004356651,0.0004234758,0.0001857689,0.0005720772],"domain_scores_gemma":[0.9982294,0.0001706444,0.00004758789,0.001402831,0.00004790215,0.0001016477],"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":[0.00001783956,0.00005472462,0.0001740172,0.0001286407,0.0001304247,0.000009993662,0.0003465668,0.9817776,0.00578931,0.0002696349,0.00008261434,0.01121862],"study_design_scores_gemma":[0.001157958,0.00005813508,0.0001575214,0.0006430479,0.00005693247,0.0002304783,0.001336676,0.8910214,0.006980445,0.00001425089,0.09765181,0.0006913791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05470579,0.223985,0.7161044,0.0002880358,0.001948918,0.0006253312,0.00003394059,0.0006679549,0.001640655],"genre_scores_gemma":[0.9499789,0.04866214,0.0001757985,0.00003028762,0.00007607778,0.0000636495,0.00002897512,0.00006200707,0.0009220901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8952731,"threshold_uncertainty_score":0.9999779,"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."}}