{"id":"W4407690967","doi":"10.1109/mecom61498.2024.10880869","title":"Routing in All-Optical LEO Constellations with High-Altitude Ground Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Research Council Canada; Horizon 2020 Framework Programme; Mitacs; Agence Nationale de la Recherche","keywords":"Constellation; Routing (electronic design automation); Computer science; Environmental science; Remote sensing; Telecommunications; Effects of high altitude on humans; Altitude (triangle); Meteorology; Computer network; Geology; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005730399,0.0003403808,0.0002807594,0.0003931275,0.0006467236,0.0008482206,0.0007368115,0.0004362086,0.001464846],"category_scores_gemma":[0.001220485,0.0001460166,0.0001806148,0.0005777788,0.0003572067,0.001405473,0.0007988426,0.0002975968,0.0001720484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020652,"about_ca_system_score_gemma":0.0005581085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006738751,"about_ca_topic_score_gemma":0.01269785,"domain_scores_codex":[0.9997048,0.0001093806,0.00001166056,0.00005546594,0.00005132295,0.00006735686],"domain_scores_gemma":[0.9993007,0.0003201277,0.0001241171,0.0001034534,0.00009119375,0.00006028528],"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":[0.0004138235,0.0001323978,0.003324878,0.0001969982,0.00008421836,0.000507313,0.0004516837,0.795376,0.01889138,0.03491836,0.00683085,0.1388721],"study_design_scores_gemma":[0.00002349542,0.0001122328,0.0007964069,0.00001233214,0.00002044649,0.0001402179,0.0002412062,0.9776184,0.00435405,0.01113313,0.00553677,0.00001129955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211205,0.001743592,0.4558653,0.001845609,0.0001995343,0.0002077936,0.0003445922,0.0009885436,0.01768443],"genre_scores_gemma":[0.9565268,0.0005737233,0.03728841,0.0001462907,0.00004616176,0.0000414422,0.0001813004,0.00004265524,0.005153265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006738751,"threshold_uncertainty_score":0.01339906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905830253574832,"score_gpt":0.2794518628831334,"score_spread":0.2403935603473851,"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."}}