{"id":"W2901362746","doi":"10.1109/ecoc.2018.8535266","title":"Fast Connection Turn-Up with Path-Based Dummy Light","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Control reconfiguration; Path (computing); Computer science; Software deployment; Connection (principal bundle); Reduction (mathematics); Channel (broadcasting); Scheme (mathematics); Property (philosophy); Computer network; Real-time computing; Electronic engineering; Telecommunications; Engineering; Embedded 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002365722,0.0001152259,0.00009800689,0.00004395127,0.00004312752,0.00001626104,0.00008748805,0.00008402864,0.0001069064],"category_scores_gemma":[0.00002051749,0.0000844929,0.00001692452,0.0002101868,0.00008736184,0.00008774221,0.00001503384,0.0001171968,0.0001595683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688933,"about_ca_system_score_gemma":0.000004301929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001889312,"about_ca_topic_score_gemma":0.00004173064,"domain_scores_codex":[0.999483,0.000003187319,0.00008934485,0.0001306614,0.00007910283,0.0002146275],"domain_scores_gemma":[0.9996684,0.00002995994,0.00001077734,0.0002125826,0.00004215393,0.00003613195],"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":[0.0004573138,0.0002181684,0.006029188,0.0003136947,0.0003564137,0.0001181937,0.0004072854,0.3468187,0.09218788,0.176192,0.05304614,0.323855],"study_design_scores_gemma":[0.001644336,0.001050601,0.001003435,0.0001456368,0.00003588795,0.00002350034,0.0006028928,0.5900699,0.3247462,0.003202648,0.07645374,0.00102123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1155849,0.00006285762,0.8425313,0.0003602853,0.000429506,0.0001550484,0.000001582899,0.004428191,0.03644638],"genre_scores_gemma":[0.9409926,0.000006197674,0.05848577,0.00006953248,0.0001128767,0.00001524239,0.000001885521,0.00002719778,0.0002886961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8254077,"threshold_uncertainty_score":0.3445521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005327390674230719,"score_gpt":0.1909972389276802,"score_spread":0.1856698482534495,"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."}}