{"id":"W2206566554","doi":"10.32657/10356/41416","title":"A study of routing and wavelength assignment problems in wavelength routed optical networks","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Infocomm Research; Nanyang Technological University; University of Alberta","keywords":"Integer programming; Routing and wavelength assignment; Linear programming; Routing (electronic design automation); Wavelength; Computer science; Integer (computer science); Upper and lower bounds; Branch and bound; Routing algorithm; Wavelength-division multiplexing; Mathematical optimization; Algorithm; Mathematics; Computer network; Routing protocol; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001347425,0.0004469996,0.0007379769,0.000222174,0.00004285529,0.00001897946,0.0002175894,0.0005599018,0.000007601252],"category_scores_gemma":[0.00008375399,0.000416813,0.00004712991,0.0004212525,0.000048589,0.00009678315,0.00007200228,0.0009619495,0.000001382399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403003,"about_ca_system_score_gemma":0.00001550847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002101801,"about_ca_topic_score_gemma":0.00053829,"domain_scores_codex":[0.9979376,0.00002422097,0.0007928046,0.0004350318,0.0002931201,0.0005172875],"domain_scores_gemma":[0.9992636,0.0001882702,0.000101268,0.0003271125,0.00004957935,0.00007019387],"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":[0.00006016624,0.0007376778,0.003275545,0.0003854903,0.0003148869,0.0001041146,0.00358618,0.7725338,0.0001278934,0.001825293,0.00009603643,0.2169529],"study_design_scores_gemma":[0.001745066,0.00058965,0.02091753,0.0005912181,0.00008330565,0.00001275452,0.01413832,0.9603857,0.0002110681,0.000321826,0.00002837272,0.0009751613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850969,0.000550517,0.005765366,0.000005169683,0.0002359803,0.00131701,0.000001713603,0.0007118319,0.006315458],"genre_scores_gemma":[0.9899464,0.001398825,0.008113173,0.00000257331,0.00003857852,0.0001393018,0.00005875711,0.00009393366,0.0002084151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2159778,"threshold_uncertainty_score":0.9998284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134540774992339,"score_gpt":0.2349952429485794,"score_spread":0.2215411654493455,"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."}}