{"id":"W1966246044","doi":"10.1364/acpc.2013.aw4i.3","title":"Contrasting Centralized versus Distributed Control of Filterless Optical Networks","year":2013,"lang":"en","type":"article","venue":"Asia Communications and Photonics Conference 2013","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Ciena (Canada); Université du Québec à Montréal","funders":"","keywords":"Computer science; Controller (irrigation); Optical switch; Distributed computing; Control (management); Computer network; Software; Software-defined networking; Engineering; Electronic engineering; Artificial intelligence; Operating system","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":[0.002523272,0.000370145,0.0004892661,0.0004322007,0.0004634791,0.002574976,0.0012287,0.0009781506,0.001175361],"category_scores_gemma":[0.0043863,0.0001806172,0.0003428223,0.000479241,0.00112301,0.002667503,0.0008448614,0.001072163,0.0001830699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397497,"about_ca_system_score_gemma":0.0007608029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001271838,"about_ca_topic_score_gemma":0.001143645,"domain_scores_codex":[0.9979175,0.0005600481,0.00008705749,0.0002705464,0.0009583784,0.0002065171],"domain_scores_gemma":[0.9969854,0.001732026,0.0002594817,0.000376881,0.0005748193,0.00007136039],"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":[0.0008868867,0.0003237268,0.001672612,0.000618488,0.0001130882,0.0002542846,0.0005581765,0.2104494,0.04867185,0.4080298,0.002045304,0.3263764],"study_design_scores_gemma":[0.0003090368,0.001299374,0.003254696,0.0002827844,0.0001261033,0.0003359522,0.0004338798,0.7816463,0.04474982,0.1414886,0.02597065,0.0001028227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536994,0.01189187,0.7744128,0.003286267,0.0005912198,0.0001498802,0.00004448647,0.0006305439,0.05529352],"genre_scores_gemma":[0.9654363,0.001881735,0.02940277,0.0002121046,0.0003448462,0.00004506682,0.00001965848,0.00004210428,0.002615524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002574976,"threshold_uncertainty_score":0.01334453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277815317668663,"score_gpt":0.2480591295734043,"score_spread":0.220277597806538,"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."}}