{"id":"W4408324746","doi":"10.1109/globecom52923.2024.10901711","title":"Service-Oriented Multipath Scheduling for Integrated Satellite-Terrestrial Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Multipath propagation; Satellite; Communications satellite; Computer network; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764624,0.0001956572,0.0001956402,0.0001250701,0.00004889432,0.0001662198,0.0002639588,0.0001508298,0.0000499624],"category_scores_gemma":[0.00002874208,0.0001742334,0.00009180976,0.0006033087,0.00001265648,0.0001652757,0.00003851017,0.000232221,0.0001330381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009536947,"about_ca_system_score_gemma":0.00002433154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006956734,"about_ca_topic_score_gemma":0.0001014027,"domain_scores_codex":[0.9989573,0.00003864842,0.0004080395,0.0002129999,0.0001026751,0.0002803382],"domain_scores_gemma":[0.999018,0.0003432024,0.00001827744,0.0004582119,0.00007813774,0.00008423282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001722857,0.00007182505,0.0008134167,0.001153057,0.0007639559,0.00001708738,0.003519557,0.4037947,0.01353189,0.008304168,0.002687779,0.5651703],"study_design_scores_gemma":[0.0002520453,0.000008597164,0.00002206538,0.0001424499,0.00001167745,0.000003176111,0.0002631986,0.7204805,0.000735028,0.00002093735,0.2779115,0.0001488556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04841278,0.03468899,0.8976699,0.0002204562,0.007111355,0.001311272,0.00003225642,0.005500793,0.005052187],"genre_scores_gemma":[0.9804486,0.001033965,0.01707398,0.00007574322,0.0005706658,0.000174108,0.0002664234,0.0001059783,0.0002505265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9320358,"threshold_uncertainty_score":0.7105032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229409964112766,"score_gpt":0.2712589449705783,"score_spread":0.2389648453294507,"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."}}