{"id":"W7117408792","doi":"10.54361/ajmas.2584127","title":"Performance Analysis of Floating Static Routes for Redundancy in Multi‑Router Networks","year":2025,"lang":"","type":"article","venue":"AlQalam Journal of Medical and Applied Sciences","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium canadien en neurodégénérescence associée au vieillissement; Cisco Systems","keywords":"Backup; Redundancy (engineering); Scalability; Network packet; Switchover; Latency (audio); Static routing; Routing (electronic design automation); Failover","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006497109,0.0002588413,0.001048552,0.0009204273,0.0003158975,0.0002369868,0.001587697,0.0002155015,0.0000315889],"category_scores_gemma":[0.0004231711,0.000187824,0.0002385211,0.004457042,0.0009589249,0.0003969347,0.0003431195,0.000530232,2.499202e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257943,"about_ca_system_score_gemma":0.0005873838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558929,"about_ca_topic_score_gemma":0.00005285041,"domain_scores_codex":[0.9957561,0.0001052261,0.001722099,0.0004962564,0.001307324,0.0006130145],"domain_scores_gemma":[0.9965541,0.001840582,0.0009374573,0.0002084913,0.0001897047,0.0002697152],"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":[0.0001352272,0.0004477576,0.1074161,0.0003126942,0.0007526508,0.00001674075,0.002572316,0.1558449,0.00004599977,0.0104114,0.000405395,0.7216388],"study_design_scores_gemma":[0.001413255,0.0003208164,0.03455332,0.001085102,0.0003649993,0.000009331457,0.0004432327,0.9607788,0.00008183481,0.0006302315,0.0001357253,0.0001833302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4434343,0.003783198,0.5496873,0.002033582,0.0007019144,0.0002005729,0.000002043663,0.000007066981,0.0001499575],"genre_scores_gemma":[0.9648322,0.002409028,0.03197902,0.0005971624,0.0001321294,0.000006655691,7.665906e-7,0.000005073768,0.00003795146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8049339,"threshold_uncertainty_score":0.765924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610620171482774,"score_gpt":0.3018501168298738,"score_spread":0.275743915115046,"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."}}