{"id":"W2298715248","doi":"","title":"Novel Distributed Protocol for Dynamic Routing and Load Balancing for Optical Networks","year":2005,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wavelength-division multiplexing; Routing and wavelength assignment; Computer network; Computer science; The Internet; Traffic grooming; Multiplexing; Wavelength; Distributed computing; Telecommunications; Optics; Physics","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":[0.000252618,0.000233377,0.0002810842,0.00002722205,0.0001867781,0.0001134167,0.0004473703,0.000238778,0.00001686305],"category_scores_gemma":[0.0005223326,0.0002320233,0.00005799431,0.0001303123,0.0002298782,0.0002158757,0.0002166733,0.0003773699,0.000006240738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849531,"about_ca_system_score_gemma":0.00003110892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.602365e-7,"about_ca_topic_score_gemma":0.00002305861,"domain_scores_codex":[0.9987007,0.000009916108,0.0004207352,0.0002690597,0.0001211151,0.0004784922],"domain_scores_gemma":[0.9978581,0.001124172,0.00005357687,0.0006175649,0.0002340404,0.0001125525],"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":[0.0001943348,0.0001722722,0.00005593865,0.0002622338,0.00008605661,3.755117e-7,0.00007656918,0.2127162,0.004392155,0.328827,0.000498076,0.4527188],"study_design_scores_gemma":[0.001108414,0.00006016753,0.0002188266,0.0001415283,0.00001914992,0.000005453765,0.00003166737,0.9808155,0.0004464529,0.001750567,0.01511027,0.0002920607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006035799,0.00005466346,0.9723965,0.001159296,0.00001932484,0.02394725,0.00002749885,0.0005986732,0.001193234],"genre_scores_gemma":[0.2886797,0.00001847807,0.6519236,0.00003506575,0.00003694671,0.0591703,0.0000557946,0.00003591837,0.00004426223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7680992,"threshold_uncertainty_score":0.9461634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454254097200458,"score_gpt":0.2921360785653137,"score_spread":0.2675935375933091,"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."}}