{"id":"W2051343514","doi":"10.1145/2684464.2684501","title":"A fast approach to solve the Route and Spectrum Allocation problem in OFDM networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Orthogonal frequency-division multiplexing; Subcarrier; Frequency allocation; Computer science; Integer programming; Spectrum (functional analysis); Mathematical optimization; Granularity; Routing (electronic design automation); Multiplexing; Computer network; Algorithm; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000120434,0.00009565288,0.00009623433,0.00003733782,0.00001612512,0.00002663247,0.0001301559,0.00006984109,0.000001037526],"category_scores_gemma":[0.00001877151,0.00006589877,0.00000887927,0.0002825336,0.00003518703,0.00008443488,0.00008206984,0.0001777824,0.000006774573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006194261,"about_ca_system_score_gemma":0.000004184788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282695,"about_ca_topic_score_gemma":0.0001028642,"domain_scores_codex":[0.9994463,0.000004488028,0.0001175371,0.0001311709,0.00006850577,0.0002319976],"domain_scores_gemma":[0.9997267,0.00002547429,0.000007757984,0.0001789343,0.00001016849,0.00005095536],"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":[0.000003515178,0.000008377599,0.0002408178,0.000004762003,0.000004836505,4.413762e-7,0.0001511911,0.9516992,0.00001013725,0.03756508,0.0007368751,0.009574773],"study_design_scores_gemma":[0.0001597068,0.00002795777,0.0006494569,0.00001053959,0.000002880118,0.000004135351,0.000526663,0.9857494,0.00004195238,0.01160999,0.00108802,0.0001292709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008533247,0.0002878925,0.9512935,0.0008665436,0.00004798613,0.0003929618,3.782676e-7,0.0005597284,0.03801773],"genre_scores_gemma":[0.7789444,0.00003912818,0.2207289,0.00007066623,0.0000433833,0.0000703821,0.00000256742,0.00001704998,0.00008342209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7704112,"threshold_uncertainty_score":0.2687274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393092838433239,"score_gpt":0.2051659620331054,"score_spread":0.191235033648773,"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."}}