{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006756844,0.0005446177,0.0004442844,0.000594131,0.0003796669,0.0005317549,0.00112134,0.0003998734,0.0008035781],"category_scores_gemma":[0.001247469,0.0002021697,0.0003172316,0.0004476714,0.0006456047,0.001128125,0.0008467364,0.0003520419,0.0001096663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819372,"about_ca_system_score_gemma":0.0006197376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005311058,"about_ca_topic_score_gemma":0.0008230818,"domain_scores_codex":[0.9996377,0.0001126842,0.00001254373,0.00005353369,0.00009902033,0.00008454317],"domain_scores_gemma":[0.9993008,0.0003358713,0.00011692,0.0001413486,0.00006473665,0.00004043011],"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":[0.0004269798,0.0001924002,0.001455704,0.0001635785,0.00009181584,0.000203894,0.000132655,0.7027531,0.09396444,0.03129176,0.0006038996,0.1687198],"study_design_scores_gemma":[0.00001405401,0.0001147349,0.0001924117,0.000005607294,0.00001804297,0.0001147813,0.00002891437,0.9831744,0.01090173,0.004784124,0.0006406874,0.00001055411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190504,0.000448197,0.8053216,0.0001775136,0.00003053287,0.00005414464,0.00001648395,0.0003256585,0.00312194],"genre_scores_gemma":[0.9195672,0.0001169738,0.07967036,0.00003016932,0.00001795939,0.0000184066,0.000009415188,0.0000196299,0.0005500097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00112134,"threshold_uncertainty_score":0.003573358,"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."}}