{"id":"W4390013180","doi":"10.34133/space.0103","title":"Pre-Coded Inter-Satellite Routing Algorithm with Load Balancing for Mega-Constellation Networks","year":2023,"lang":"en","type":"article","venue":"Space Science & Technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Satellite constellation; Constellation; Computer science; Mega-; Routing algorithm; Satellite; Load balancing (electrical power); Computer network; Algorithm; Routing (electronic design automation); Distributed computing; Routing protocol; Geography; Engineering; Geodesy; Aerospace engineering","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":[0.0003843663,0.0004752677,0.0004522451,0.0006878027,0.0006481339,0.0005383572,0.001234334,0.0004882812,0.001604202],"category_scores_gemma":[0.001071246,0.0002051763,0.0002658283,0.0006602732,0.0003667554,0.001039341,0.0006318505,0.0005248479,0.0002743948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008365745,"about_ca_system_score_gemma":0.00159933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005022024,"about_ca_topic_score_gemma":0.004932421,"domain_scores_codex":[0.9997246,0.00005683235,0.00001611685,0.00005267424,0.00009910584,0.00005066395],"domain_scores_gemma":[0.999608,0.0001122135,0.00005362479,0.00004066259,0.0001541406,0.00003138951],"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":[0.0002634213,0.0001153754,0.001001955,0.0001026989,0.00003237968,0.000129909,0.0002308044,0.7256002,0.01720494,0.0182555,0.004695563,0.2323673],"study_design_scores_gemma":[0.0000190079,0.00003896826,0.0001016439,0.00000358676,0.000004224946,0.00003529215,0.00002232398,0.9953021,0.001725246,0.001960804,0.0007792384,0.000007564261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04720655,0.0002279092,0.9480469,0.0002211064,0.00008116639,0.0001015349,0.00004370272,0.0007151698,0.003356016],"genre_scores_gemma":[0.6677601,0.0003030503,0.3264946,0.0001378046,0.0000602258,0.0002594629,0.0003192782,0.00008002933,0.004585353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005022024,"threshold_uncertainty_score":0.009985566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197480926137707,"score_gpt":0.249868404581573,"score_spread":0.2378935953201959,"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."}}