{"id":"W4400412096","doi":"10.1016/j.comnet.2024.110627","title":"Multi-objective optimization of asymmetric bit rate partitioning for multipath protection in elastic optical networks","year":2024,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Universidade Federal de Pernambuco; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Bit (key); Multipath propagation; Bit rate; Bit error rate; Computer network; Electronic engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001512422,0.001452143,0.001533281,0.0008901623,0.0004970431,0.00132104,0.001219955,0.001386025,0.002861592],"category_scores_gemma":[0.002501649,0.0006612795,0.0006248671,0.000679084,0.0007680389,0.001217601,0.001125292,0.0009312872,0.0002207099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234845,"about_ca_system_score_gemma":0.001259874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005748107,"about_ca_topic_score_gemma":0.004320424,"domain_scores_codex":[0.9993843,0.0002467976,0.00001770584,0.00007638175,0.0001183184,0.0001564046],"domain_scores_gemma":[0.9989437,0.0007099088,0.0001089226,0.0000344602,0.0001429283,0.00006009048],"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":[0.00004887845,0.00002442835,0.00008605868,0.00002391375,0.00001846895,0.00001826724,0.00001146793,0.9938366,0.000426114,0.000961261,0.00015719,0.004387344],"study_design_scores_gemma":[0.000006459255,0.00002259409,0.00003513329,0.000002875065,0.000004200333,0.000003686559,0.000007097745,0.9993827,0.0001189714,0.0003693692,0.00004495515,0.000001884047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1987492,0.001354016,0.7886949,0.0004925912,0.0001100086,0.0001495727,0.0001645721,0.0002689644,0.01001617],"genre_scores_gemma":[0.936636,0.0002422099,0.05989849,0.00008772946,0.00003317555,0.00009328027,0.00008476192,0.00007515214,0.00284934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005748107,"threshold_uncertainty_score":0.01142925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447497690937439,"score_gpt":0.2320071166591421,"score_spread":0.2175321397497677,"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."}}