{"id":"W2118757123","doi":"10.1109/icw.2005.14","title":"A Novel Fairness Based Criticality Avoidance Routing Algorithm for Wavelength Routed Optical Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Blocking (statistics); Hop (telecommunications); Routing algorithm; Network routing; Static routing; Routing (electronic design automation); Traffic grooming; Criticality; Distributed computing; Routing and wavelength assignment; Load balancing (electrical power); Wavelength-division multiplexing; Routing protocol; Algorithm; Wavelength; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002494605,0.0003198945,0.0003692617,0.00005447117,0.0001184328,0.00006009466,0.0003201992,0.000321098,0.00002714557],"category_scores_gemma":[0.000339845,0.0003071508,0.000124011,0.0003098805,0.0001610294,0.0002371365,0.00007777152,0.0004771178,0.00001461588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181906,"about_ca_system_score_gemma":0.00001498246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002049619,"about_ca_topic_score_gemma":0.00001339194,"domain_scores_codex":[0.9980272,0.00000949424,0.0004515383,0.0004041128,0.0001846211,0.0009230053],"domain_scores_gemma":[0.9985372,0.0007500145,0.00002293327,0.0004194675,0.0001144612,0.00015588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008413458,0.00007323101,0.00001158741,0.00002504805,0.00002270276,0.000002079072,0.000005489156,0.4594633,0.0002554146,0.04194107,0.0001761925,0.4980155],"study_design_scores_gemma":[0.0007665752,0.00003518742,0.0001269312,0.00003849016,0.00002058268,0.000005119075,0.00004122795,0.9937642,0.001965831,0.000973124,0.001840978,0.0004217927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009005988,0.0001070269,0.9930578,0.000655616,0.0002032062,0.0004046875,0.00001952947,0.003081095,0.001570393],"genre_scores_gemma":[0.4316478,0.000008268664,0.5677353,0.0001815919,0.0002446668,0.00008535097,0.00001133239,0.00004733241,0.00003830175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5343009,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366836347881123,"score_gpt":0.2435089184618115,"score_spread":0.2298405549830003,"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."}}