{"id":"W1745487936","doi":"10.1109/icii.2001.983555","title":"Control architecture of multiple-hop connections in IP over WDM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Nortel (Canada)","funders":"","keywords":"Computer network; Computer science; Multiprotocol Label Switching; Network traffic control; Optical IP Switching; Quality of service; Traffic engineering; Network packet; Label switching; Distributed computing; Network architecture; Traffic grooming; Wavelength-division multiplexing; Internet Protocol; The Internet","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":[0.0004284485,0.0003307538,0.0001777873,0.0002767098,0.0005526072,0.001699412,0.0008906246,0.0005412994,0.00212904],"category_scores_gemma":[0.0006667087,0.0001734778,0.0001752813,0.0002472953,0.0009157381,0.001128177,0.0003654268,0.0005614525,0.0003816919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008048399,"about_ca_system_score_gemma":0.0006759717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029102,"about_ca_topic_score_gemma":0.002223612,"domain_scores_codex":[0.9997761,0.00004223872,0.00001510003,0.00004669581,0.00008395912,0.00003601116],"domain_scores_gemma":[0.9997721,0.00005613911,0.00002462823,0.00003683635,0.00008896006,0.00002130343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000117146,0.00009316315,0.0004344461,0.0001124583,0.00001742359,0.0003771964,0.0005330285,0.1378078,0.02601074,0.7723896,0.002293694,0.05981324],"study_design_scores_gemma":[0.0000466484,0.0001391963,0.0003459483,0.00002635434,0.00002528692,0.000114456,0.00006244479,0.8255553,0.008296246,0.1470267,0.01833423,0.00002735967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07741693,0.0006604594,0.8800947,0.0006712957,0.0002205104,0.0001385212,0.00008591269,0.001133649,0.03957798],"genre_scores_gemma":[0.9203343,0.000477538,0.06775733,0.0001461403,0.0001269464,0.0001972081,0.00009672828,0.00004879335,0.01081503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0029102,"threshold_uncertainty_score":0.007122397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007624074351421119,"score_gpt":0.1964268454301905,"score_spread":0.1888027710787694,"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."}}