{"id":"W2070152796","doi":"10.1016/j.comcom.2004.02.026","title":"A computer aided tool for the performance evaluation of next generation WDM wavelength-routed optical networks","year":2004,"lang":"en","type":"article","venue":"Computer Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Reservation; Network packet; Computer network; Routing and wavelength assignment; Wavelength-division multiplexing; Network topology; Modular design; Network simulation; Process (computing); Blocking (statistics); Real-time computing; Wavelength; Distributed computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000855815,0.0006632531,0.0005869601,0.000930446,0.000436692,0.0008621595,0.0008297972,0.0006644346,0.00817743],"category_scores_gemma":[0.004174463,0.0003177271,0.0002679144,0.0008287908,0.000276502,0.0007246441,0.0004890169,0.0005132344,0.001081132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006084159,"about_ca_system_score_gemma":0.0008553605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921501,"about_ca_topic_score_gemma":0.004446604,"domain_scores_codex":[0.9993415,0.0001775296,0.00003134369,0.00003474702,0.0003827098,0.00003205916],"domain_scores_gemma":[0.9976439,0.001478471,0.0001240319,0.000212673,0.0005178736,0.00002307642],"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":[0.0003166858,0.000204178,0.001654488,0.0002136561,0.00007161377,0.0001624355,0.0001075146,0.744897,0.02482651,0.01848646,0.008361459,0.2006979],"study_design_scores_gemma":[0.00002571872,0.00007251307,0.0004744296,0.000009528405,0.00001175065,0.00005222936,0.00001181805,0.984587,0.009420549,0.001266446,0.004052918,0.00001511832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08215012,0.000296637,0.8836802,0.000163301,0.00008906813,0.000202414,0.001153086,0.01324468,0.01902049],"genre_scores_gemma":[0.5622176,0.0003082175,0.4271806,0.00007554821,0.00003692387,0.0006393971,0.001079131,0.0006098342,0.007852775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00817743,"threshold_uncertainty_score":0.02735621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07890231964956369,"score_gpt":0.2848430827973319,"score_spread":0.2059407631477682,"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."}}