{"id":"W2789883480","doi":"10.23977/cpcs.2017.21002","title":"Research on Hierarchical Scheduling of Operational Operation of Polar Meteorological Satellite Ground System","year":2017,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dynamic priority scheduling; Computer science; Fair-share scheduling; Two-level scheduling; Fixed-priority pre-emptive scheduling; Rate-monotonic scheduling; Earliest deadline first scheduling; Scheduling (production processes); Round-robin scheduling; Flow shop scheduling; Lottery scheduling; Real-time computing; Distributed computing; Engineering; Schedule; Operating system; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004495333,0.000157308,0.0004078677,0.0001950969,0.001545648,0.0005595982,0.002152911,0.0001342314,6.097262e-7],"category_scores_gemma":[0.00007834234,0.0001351897,0.00005614836,0.000203503,0.0003099597,0.0004575709,0.0008314946,0.0004050206,0.00001179945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362903,"about_ca_system_score_gemma":0.00009258457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616627,"about_ca_topic_score_gemma":0.000001494704,"domain_scores_codex":[0.9971718,0.0008211344,0.0007759796,0.0003551539,0.000600599,0.0002753052],"domain_scores_gemma":[0.9965276,0.0005113089,0.0005441892,0.001796589,0.0005385979,0.00008170757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000922413,0.0001911019,0.03202134,0.000806513,0.00008894353,0.00000222801,0.002246313,0.09835897,0.0008490152,0.8430923,0.00006000964,0.02219106],"study_design_scores_gemma":[0.0003974657,0.000244127,0.08973943,0.0009111843,0.000004011015,0.00003400756,0.0003702817,0.9073157,0.0001585419,0.0000495852,0.0006309269,0.0001447147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190779,0.001193615,0.07529004,0.0002180052,0.0003019198,0.0003215889,0.000005096456,0.0000709471,0.003520829],"genre_scores_gemma":[0.994247,0.0001351695,0.00543853,0.00001289085,0.00009482872,0.00001046884,0.00002020454,0.000008102757,0.00003278567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8430427,"threshold_uncertainty_score":0.9997542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09301433157687405,"score_gpt":0.3503694105270481,"score_spread":0.257355078950174,"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."}}