{"id":"W4214889790","doi":"10.1109/taes.2022.3156087","title":"When to Crossover From Earth to Space for Lower Latency Data Communications?","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Satellite Communication Systems","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Research Council Canada","keywords":"Crossover; Latency (audio); Computer science; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004605497,0.0002585558,0.0002403065,0.0002724849,0.000725409,0.00102995,0.000610617,0.0007130723,0.002708236],"category_scores_gemma":[0.002240155,0.0001193848,0.000322332,0.0003982298,0.0005861826,0.003417973,0.0006626525,0.0008163513,0.0005248629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006742544,"about_ca_system_score_gemma":0.0006179668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608762,"about_ca_topic_score_gemma":0.003660443,"domain_scores_codex":[0.9997001,0.00005481039,0.00001073603,0.00004763381,0.00005345356,0.0001332658],"domain_scores_gemma":[0.999324,0.000268896,0.000120403,0.00006824161,0.0001095076,0.0001089556],"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":[0.0008686137,0.0004386252,0.04413801,0.0006386318,0.0001477,0.002440065,0.001324389,0.5010832,0.119079,0.1284035,0.01037847,0.1910598],"study_design_scores_gemma":[0.0001856961,0.0009823561,0.03136341,0.0002829182,0.0001715373,0.002137012,0.008842943,0.7458087,0.07682297,0.09081417,0.0423731,0.0002151952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441426,0.002187651,0.125714,0.003300501,0.0003290984,0.00009163814,0.0002908474,0.0004503559,0.0234934],"genre_scores_gemma":[0.9884283,0.0005497815,0.009654632,0.0001520037,0.00002005996,0.00001960797,0.00009210809,0.00003861795,0.001044973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003608762,"threshold_uncertainty_score":0.009059906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04201495952764089,"score_gpt":0.268683359354309,"score_spread":0.2266683998266681,"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."}}