{"id":"W4399807674","doi":"10.3390/s24123965","title":"Enhancing the Efficiency of Resilient Multipath-Routed Elastic Optical Networks: A Novel Approach for Coexisting Protected and Unprotected Services with Idle Slot Reuse","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universidade de Pernambuco; Universidade Federal de Pernambuco; University of Waterloo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Reuse; Computer network; Computer science; Bandwidth (computing); Network topology; Idle; Call blocking; Multipath propagation; Topology (electrical circuits); Frequency reuse; Routing (electronic design automation); Distributed computing; Handover; Engineering; Channel (broadcasting); Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002042242,0.0002511586,0.0002769603,0.00008898427,0.0001175432,0.00005649604,0.0002632456,0.0001518379,5.981689e-7],"category_scores_gemma":[0.0004061711,0.0001648438,0.00004043561,0.0007269271,0.0002271646,0.00006571681,0.0001175292,0.0004199298,6.692084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004755058,"about_ca_system_score_gemma":0.00001550555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008881545,"about_ca_topic_score_gemma":0.0000160656,"domain_scores_codex":[0.9986466,0.00001844587,0.0003471128,0.0003675699,0.0001719248,0.0004483524],"domain_scores_gemma":[0.9987494,0.0006523364,0.00004599871,0.0004109902,0.00008716287,0.00005408629],"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":[0.00009067867,0.00003366854,0.000009512614,0.000938039,0.00006845804,0.000005377547,0.0004825064,0.9559533,0.04014199,0.0008681545,0.00000258187,0.001405719],"study_design_scores_gemma":[0.0003541025,0.000165942,0.0001162044,0.0005003207,0.00005318761,0.00002214428,0.0007209833,0.9862874,0.0114461,0.00007785137,0.00004114086,0.0002146389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5050787,0.0004855639,0.4924825,0.00002798507,0.00005195528,0.000950477,0.000007568269,0.0008444978,0.00007069833],"genre_scores_gemma":[0.7544369,0.00001547461,0.2452589,0.000003665553,0.00004936953,0.0001623818,0.00000590869,0.00005472707,0.00001271122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2493582,"threshold_uncertainty_score":0.6722137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009696866825819111,"score_gpt":0.2171298394977404,"score_spread":0.2074329726719213,"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."}}