{"id":"W4402835483","doi":"10.1109/vtc2024-spring62846.2024.10683179","title":"Link-Level Performance Analysis of DVB Standards in Ultra-Dense LEO Satellite-Terrestrial Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Digital Video Broadcasting; Computer science; Satellite; Satellite broadcasting; Communications satellite; Telecommunications; Remote sensing; Aerospace engineering; Engineering; Geology","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":[0.0006254403,0.0003700225,0.000336254,0.0004851352,0.0003230072,0.0005440901,0.0004815536,0.0004470484,0.0008305304],"category_scores_gemma":[0.001689008,0.000144297,0.0003010256,0.0005382544,0.0003361159,0.000771137,0.0004844627,0.0003592306,0.0001365693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034953,"about_ca_system_score_gemma":0.0006241088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008399742,"about_ca_topic_score_gemma":0.00485167,"domain_scores_codex":[0.9996166,0.0001334718,0.00001343679,0.00003791841,0.0001192684,0.0000791908],"domain_scores_gemma":[0.9993326,0.0003471321,0.00008284496,0.00004763837,0.0001671014,0.00002265453],"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":[0.00002072414,0.00002085522,0.001584803,0.00001712576,0.00001196951,0.00003022751,0.00001963317,0.9913167,0.001634143,0.002196988,0.0001588619,0.002988092],"study_design_scores_gemma":[0.000002443654,0.00002409212,0.0003274121,0.000002127823,0.000004592855,0.000006483409,0.00000927415,0.9985574,0.0005985794,0.0003316417,0.0001330841,0.000002818843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425286,0.0008378176,0.1411885,0.0003338337,0.00004028183,0.00008197487,0.0005125894,0.0004243926,0.01405197],"genre_scores_gemma":[0.9942584,0.000232705,0.004589402,0.00002987759,0.000006260463,0.00002288535,0.0001596793,0.00001913572,0.0006815951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008399742,"threshold_uncertainty_score":0.0167017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036028828911801,"score_gpt":0.2785677946359958,"score_spread":0.2425389657241948,"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."}}