{"id":"W4225335632","doi":"10.1109/twc.2022.3162400","title":"Ubiquitous Transmission Service: Hierarchical Wireless Data Rate Provisioning in Space-Air-Ocean Integrated Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Wireless; Provisioning; Wireless sensor network; Stackelberg competition; Wireless network; Real-time computing; Quality of service; Transmission (telecommunications); Telecommunications","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001194414,0.000437904,0.0005148167,0.0006145736,0.001271522,0.0001007958,0.005055917,0.0002012399,0.0001301849],"category_scores_gemma":[0.000006278238,0.0004990781,0.0001155492,0.002638365,0.0001523332,0.0004554472,0.0001225565,0.002880967,0.00003302789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380168,"about_ca_system_score_gemma":0.000177668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004621148,"about_ca_topic_score_gemma":0.0008782265,"domain_scores_codex":[0.9959355,0.001492476,0.001007249,0.0005751299,0.000435533,0.0005541199],"domain_scores_gemma":[0.9919159,0.0009656387,0.0001383581,0.006636387,0.0001287063,0.0002149607],"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":[0.00009966668,0.0006952503,0.00007059288,0.00008484487,0.0001017516,0.000007423715,0.002685742,0.8844771,0.003539038,0.0003926981,0.0003323405,0.1075135],"study_design_scores_gemma":[0.0008460332,0.00005294167,0.0001519674,0.0002290891,0.00003828559,0.00002995398,0.001352429,0.9629629,0.0008461765,0.00004593941,0.03293701,0.0005072817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169961,0.003453897,0.8652264,0.00598352,0.001204605,0.00233725,0.0006942917,0.002378997,0.001724877],"genre_scores_gemma":[0.9920513,0.003999218,0.002190759,0.0002342114,0.0000264302,0.0004413598,0.0007696563,0.0001628542,0.0001241983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8750552,"threshold_uncertainty_score":0.9997461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019710652724733,"score_gpt":0.2740317710583806,"score_spread":0.2338346645311332,"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."}}