{"id":"W3209815031","doi":"10.1109/ccece53047.2021.9569161","title":"Nested Column Generation Algorithm for the Routing and Spectrum Assignment Problem in Flexgrid Optical Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Column generation; Computer science; Provisioning; Routing (electronic design automation); Mathematical optimization; Upper and lower bounds; Decomposition; Assignment problem; Algorithm; Mathematics; 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":[0.0001255414,0.000108555,0.0001286586,0.00001756278,0.00006765187,0.00006421201,0.00006601235,0.0001018883,0.000009622923],"category_scores_gemma":[0.00003588309,0.00008576114,0.00002157923,0.0001895353,0.00003980069,0.00007168679,0.00006504809,0.0001876949,8.841091e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007478808,"about_ca_system_score_gemma":0.000007815864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002477454,"about_ca_topic_score_gemma":0.0001239177,"domain_scores_codex":[0.9992526,0.000009039926,0.0001937557,0.000176208,0.00007173391,0.0002967007],"domain_scores_gemma":[0.9995728,0.0002262189,0.00001203327,0.0001426043,0.00001735435,0.00002897509],"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":[9.625682e-7,0.00001114475,0.0001014741,0.000006310325,0.00001605438,0.000006937674,0.00001187867,0.6925554,0.0004752882,0.008272796,0.0002431408,0.2982987],"study_design_scores_gemma":[0.0002370798,0.00002461415,0.000306444,0.00001353457,0.0000090225,0.000008810679,0.0001360036,0.9955826,0.002195464,0.0009346806,0.0004345681,0.0001171594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00361186,0.0007407468,0.993651,0.0007470289,0.0001488208,0.0003750278,0.000001049149,0.0003113323,0.0004130796],"genre_scores_gemma":[0.3945951,0.0003361421,0.6044309,0.00007677014,0.0002495506,0.000166184,0.00001245619,0.00002935379,0.0001035141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3909833,"threshold_uncertainty_score":0.3497238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271017685994601,"score_gpt":0.220277065470773,"score_spread":0.2075668886108269,"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."}}