{"id":"W4408122333","doi":"10.3390/electronics14051016","title":"Joint Task Offloading and Resource Scheduling in Low Earth Orbit Satellite Edge Computing Networks","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Satellite Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Low earth orbit; Satellite; Computer science; Scheduling (production processes); Joint (building); Enhanced Data Rates for GSM Evolution; Task (project management); Real-time computing; Aerospace engineering; Telecommunications; Engineering; Systems engineering; Operations management","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":[],"consensus_categories":[],"category_scores_codex":[0.0005947992,0.0001731486,0.0002597421,0.0002016808,0.00009126346,0.00009056472,0.0002092151,0.0001252564,0.000002684326],"category_scores_gemma":[0.00004060345,0.0002044629,0.0000376865,0.0005947551,0.00002708719,0.00007502973,0.0001084432,0.0006194041,0.000009873561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867612,"about_ca_system_score_gemma":0.00003864064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004053386,"about_ca_topic_score_gemma":0.00006200827,"domain_scores_codex":[0.9986921,0.0000935089,0.0004194299,0.0002146792,0.00009302585,0.0004872672],"domain_scores_gemma":[0.9992709,0.0001767178,0.00004713211,0.0004271484,0.0000273631,0.00005071359],"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":[0.00001818059,0.00003234241,0.008446415,0.000436073,0.0001237077,0.000008128789,0.001683649,0.7055269,0.01032184,0.005447344,0.0001059715,0.2678494],"study_design_scores_gemma":[0.0003837085,0.00001458745,0.003018963,0.0006506996,0.000008975166,0.000009291737,0.0001415428,0.8507865,0.002668872,0.000121565,0.1419353,0.0002599913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5093256,0.4521542,0.02818587,0.0001253813,0.0002522532,0.0003584794,7.760689e-7,0.0004919837,0.009105504],"genre_scores_gemma":[0.9876645,0.01077315,0.00123078,0.00009009324,0.00007002908,0.000006621041,0.00001068884,0.00003683664,0.0001172786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478339,"threshold_uncertainty_score":0.8337756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009662802969648323,"score_gpt":0.2206315235220117,"score_spread":0.2109687205523633,"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."}}