{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459692,0.0004704493,0.0003202726,0.0006805015,0.0002499519,0.0005306817,0.0009919892,0.000245326,0.0007343303],"category_scores_gemma":[0.003169029,0.0001741017,0.0002464564,0.0003052584,0.0004381726,0.000834446,0.0003541729,0.0002415221,0.0001073423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008226854,"about_ca_system_score_gemma":0.0004939827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160327,"about_ca_topic_score_gemma":0.001400098,"domain_scores_codex":[0.9990514,0.0003163785,0.00004173539,0.0001138472,0.000384732,0.00009196759],"domain_scores_gemma":[0.9981522,0.00085658,0.0002938248,0.0003159353,0.0003304507,0.00005102469],"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":[0.0006253786,0.0001401873,0.01023994,0.0002202812,0.00007109493,0.0002927734,0.000193743,0.7906949,0.1251814,0.004117273,0.0005430576,0.06768005],"study_design_scores_gemma":[0.00001583877,0.001235283,0.00404444,0.00001435211,0.00003994331,0.0002098762,0.00005731621,0.9316818,0.06133987,0.0005892291,0.0007445614,0.00002742254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176967,0.0002202128,0.07875299,0.00005772994,0.00002470677,0.0000537601,0.00005917131,0.001030495,0.002104256],"genre_scores_gemma":[0.988337,0.00003641603,0.01129938,0.000008613141,0.000002184512,0.00001060141,0.00003225503,0.00002197723,0.0002515324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459692,"threshold_uncertainty_score":0.007719636,"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."}}