{"id":"W4320015795","doi":"10.1109/twc.2023.3239080","title":"Service-Aware Resource Orchestration in Ultra-Dense LEO Satellite-Terrestrial Integrated 6G: A Service Function Chain Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; National Key Research and Development Program of China","keywords":"Computer science; Distributed computing; Service (business); Computer network","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":[0.001109604,0.0009147631,0.000847311,0.0006152789,0.0006927014,0.001276394,0.001462171,0.0009369187,0.002243295],"category_scores_gemma":[0.001227175,0.0003826646,0.0005829256,0.0009495717,0.001105303,0.001552604,0.001682076,0.001014135,0.0002757112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332736,"about_ca_system_score_gemma":0.001553958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449942,"about_ca_topic_score_gemma":0.003631056,"domain_scores_codex":[0.9991587,0.0002232391,0.00003377472,0.0001931734,0.0001875331,0.000203516],"domain_scores_gemma":[0.9994586,0.0002493496,0.00007157099,0.00003956244,0.0001033057,0.00007760168],"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":[0.00008267117,0.00006940921,0.0003821023,0.00008584226,0.00003351449,0.0001553459,0.000136809,0.924855,0.004296955,0.04174243,0.0007783303,0.0273816],"study_design_scores_gemma":[0.000005571527,0.00002204527,0.00003102455,0.000003594333,0.000005388004,0.00001818715,0.00002220843,0.9910868,0.0003853995,0.008030751,0.0003843903,0.000004687943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01465746,0.0002470094,0.9821975,0.0001425458,0.00002270029,0.00004924369,0.00002054288,0.00008610822,0.002576918],"genre_scores_gemma":[0.8569479,0.0006035977,0.1380539,0.0001268004,0.00005503836,0.00017472,0.0000784509,0.00005369402,0.00390585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00449942,"threshold_uncertainty_score":0.009669662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632777284758161,"score_gpt":0.265232646562747,"score_spread":0.2019549180869309,"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."}}