{"id":"W4416707752","doi":"10.48550/arxiv.2509.02149","title":"Green Traffic Engineering for Satellite Networks Using Segment Routing Flexible Algorithm","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latency (audio); Emulation; Network packet; Routing (electronic design automation); Traffic engineering; Satellite constellation; Enhanced Interior Gateway Routing Protocol; Routing protocol; Static routing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353273,0.0005049423,0.0003214997,0.0004237551,0.0003415563,0.0004548919,0.0004204079,0.0003226271,0.001317155],"category_scores_gemma":[0.0007090046,0.0001578277,0.0004076825,0.0003310917,0.0003604105,0.0004375884,0.0005633805,0.0004579679,0.0001225213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540187,"about_ca_system_score_gemma":0.0007180661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563409,"about_ca_topic_score_gemma":0.002692901,"domain_scores_codex":[0.9998858,0.00003626004,0.000003733099,0.00001547527,0.00003519139,0.00002355288],"domain_scores_gemma":[0.9998166,0.00009048815,0.00002293087,0.00001678578,0.00003704822,0.00001616923],"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":[0.00003049086,0.00001562474,0.000322381,0.00001254347,0.000009341445,0.00001917464,0.0000205428,0.9689738,0.002741973,0.008684117,0.0003791379,0.01879085],"study_design_scores_gemma":[0.000002113881,0.00001318738,0.00002643934,0.000001233117,0.000001390547,0.000003762064,0.000004371389,0.9973881,0.0003387888,0.001959003,0.0002606621,0.000001065414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04625242,0.00008243054,0.9491979,0.00009262798,0.00001578536,0.00004015325,0.00003731404,0.000279175,0.004002145],"genre_scores_gemma":[0.6955301,0.0001343107,0.3016763,0.00005568539,0.00001572296,0.0001143777,0.0001529414,0.0001190371,0.002201524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002563409,"threshold_uncertainty_score":0.005096972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06341197118181363,"score_gpt":0.2803829227620252,"score_spread":0.2169709515802116,"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."}}