{"id":"W2089731868","doi":"10.1108/03321640910999914","title":"A computation method for scenario studies in WDM network planning","year":2009,"lang":"en","type":"article","venue":"COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Computation; Wavelength-division multiplexing; Computer science; Network planning and design; Computer network; Electronic engineering; Distributed computing; Engineering; Materials science; Algorithm; Optoelectronics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004653766,0.0001361284,0.0002229256,0.0001652949,0.00006816556,0.00006435024,0.0001321383,0.00005452175,1.447565e-7],"category_scores_gemma":[0.00019095,0.0001102471,0.00003774159,0.0001856893,0.00001715827,0.00008868327,0.00002065027,0.0003546673,9.809634e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013822,"about_ca_system_score_gemma":0.00001314259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.514557e-7,"about_ca_topic_score_gemma":0.000002790126,"domain_scores_codex":[0.9990863,0.000009210027,0.000349252,0.0001112506,0.0001145525,0.000329402],"domain_scores_gemma":[0.9987547,0.001057406,0.00005353802,0.00003113196,0.00007421972,0.0000289785],"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":[0.00002026272,0.0000159794,0.00001013837,0.00003056587,0.00004793176,0.000002329256,0.0002501245,0.9220632,0.0001489911,0.03876627,0.0001330258,0.03851113],"study_design_scores_gemma":[0.0004799538,0.00009029711,0.0000780942,0.0001167084,0.000007945267,0.00008821339,0.00006132012,0.7529542,0.0000255562,0.2457507,0.0002537522,0.00009329416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02544325,0.00486524,0.9685262,0.0005880544,0.0002184867,0.0002574079,5.664409e-7,0.00008386606,0.00001692347],"genre_scores_gemma":[0.6056389,0.0008992465,0.393162,0.00008636119,0.0001562822,0.00002959709,0.000003684677,0.00001769599,0.000006250868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5801956,"threshold_uncertainty_score":0.4495747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091178371226027,"score_gpt":0.3494346780601998,"score_spread":0.3185228943479395,"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."}}