{"id":"W2146450732","doi":"10.1109/icc.2005.1494634","title":"Exact ILP solution for the grooming problem in WDM ring networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Synchronous optical networking; Traffic grooming; Integer programming; Multiplexer; Computer science; Wavelength-division multiplexing; Linear programming; Computer network; Bandwidth (computing); Network planning and design; Integer (computer science); Mathematical optimization; Distributed computing; Multiplexing; Mathematics; Telecommunications; Algorithm; Wavelength","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":[0.001938754,0.001579856,0.001582858,0.0006238094,0.0005101896,0.00165853,0.001043665,0.001653199,0.006142297],"category_scores_gemma":[0.004671967,0.0007602879,0.0008326212,0.0009740972,0.0009329306,0.001058703,0.001073074,0.001636883,0.0005195942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003398,"about_ca_system_score_gemma":0.001925509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004909001,"about_ca_topic_score_gemma":0.004349804,"domain_scores_codex":[0.9993686,0.0002773375,0.00001977979,0.00007713246,0.0001323511,0.0001248264],"domain_scores_gemma":[0.9966366,0.002814838,0.0001842846,0.00006243469,0.0002327805,0.00006901024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002626877,0.00002218705,0.00009918534,0.00007042651,0.00001013253,0.00003593698,0.00001647819,0.9886381,0.0001486847,0.004702279,0.0006163597,0.005613895],"study_design_scores_gemma":[0.00001378097,0.00001439606,0.00002180119,0.000009019902,0.000004752112,0.0000061261,0.00001473712,0.9944085,0.0001039901,0.005050603,0.0003500424,0.000002103246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01899211,0.0008521458,0.9660731,0.0007764328,0.0001080753,0.0001342214,0.0003357473,0.0002847628,0.01244348],"genre_scores_gemma":[0.4519961,0.001172436,0.536715,0.0004994164,0.0001772824,0.0007680336,0.0006998723,0.000273795,0.007698009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006142297,"threshold_uncertainty_score":0.02054799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159313132305826,"score_gpt":0.2247087412609534,"score_spread":0.2131156099378951,"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."}}