{"id":"W2100664414","doi":"10.1109/ccece.2005.1556930","title":"Wavelength scheduling algorithms with delayed acceptance for optical burst switching networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Reservation; Scheduling (production processes); Computer network; Real-time computing; Dynamic priority scheduling; Optical burst switching; Distributed computing; Algorithm; Wavelength; Wavelength-division multiplexing; Mathematical optimization; Optical performance monitoring; Quality of service; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009022147,0.0002771443,0.0002721514,0.00005660964,0.0001154458,0.00006402456,0.0002469516,0.0002017874,0.0000111653],"category_scores_gemma":[0.00003079936,0.0002267527,0.00006047131,0.0002873904,0.00006782573,0.000232647,0.00004820929,0.0003788469,0.000006275452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008496415,"about_ca_system_score_gemma":0.000007660909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004874559,"about_ca_topic_score_gemma":0.00004432177,"domain_scores_codex":[0.9985669,0.000003009411,0.0002856787,0.0003088232,0.0001443499,0.0006912436],"domain_scores_gemma":[0.9993209,0.0002269439,0.0000278386,0.0002986298,0.00005764053,0.0000680954],"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":[0.00002455636,0.00001525975,0.00006984455,0.00001384645,0.00003263273,0.000007328595,0.000003159884,0.868921,0.0001761262,0.02662211,0.000122958,0.1039911],"study_design_scores_gemma":[0.0004798322,0.00008388689,0.0001552166,0.00003314823,0.00002237038,0.00001193914,0.00006754878,0.9943634,0.0007084532,0.003115894,0.0005862822,0.0003719736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05794474,0.000348533,0.9356955,0.0001005483,0.0001541747,0.0003348372,0.000002267638,0.002327862,0.003091541],"genre_scores_gemma":[0.4920525,0.00003012595,0.5075356,0.00002034855,0.0002055871,0.00005366296,0.000007502886,0.00005176432,0.00004286533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4341078,"threshold_uncertainty_score":0.9246706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007799038163247381,"score_gpt":0.220230908205768,"score_spread":0.2124318700425206,"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."}}