{"id":"W2106139461","doi":"10.1109/glocom.2004.1378328","title":"ILP formulations and optimal solutions for the RWA problem","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Benchmark (surveying); Integer programming; Blocking (statistics); Routing and wavelength assignment; Linear programming; Integer (computer science); Mathematical optimization; Computer science; Routing (electronic design automation); Notation; Upper and lower bounds; Wavelength-division multiplexing; Mathematics; Algorithm; Wavelength; Computer network","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":[0.00003616396,0.00005328584,0.00004353477,0.00001623282,0.0001425211,0.00001433735,0.00006061666,0.00003829272,0.00001327905],"category_scores_gemma":[0.00001813011,0.00003583378,0.00001738136,0.00006287243,0.00004437051,0.0001104921,0.00003454021,0.00006244625,0.000006723637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711085,"about_ca_system_score_gemma":0.000002019646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.750712e-7,"about_ca_topic_score_gemma":0.0000265342,"domain_scores_codex":[0.999647,7.28997e-7,0.00007467058,0.00005662436,0.00002678471,0.0001941413],"domain_scores_gemma":[0.9997222,0.0001435074,0.000004586447,0.0001005856,0.00001316751,0.00001599703],"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":[7.014577e-7,0.000002962374,0.000006455511,0.000003666659,0.000008945068,2.143644e-8,0.00001543232,0.7320485,0.00008724821,0.206609,0.001652786,0.05956428],"study_design_scores_gemma":[0.00009534476,0.0000112742,0.0001320222,0.000002415768,0.000008236028,0.00000169648,0.00004406652,0.9359661,0.0001006874,0.007322846,0.05625354,0.00006174271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00208658,0.0005272618,0.9899173,0.001951089,0.00002166742,0.0002722302,0.000003705459,0.0007411221,0.004478991],"genre_scores_gemma":[0.4254898,0.0000832169,0.5740283,0.00002422529,0.00004241338,0.00009008099,0.000001221184,0.000009118283,0.0002316613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4234032,"threshold_uncertainty_score":0.1461259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704695135775099,"score_gpt":0.2346633733616539,"score_spread":0.2176164220039029,"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."}}