{"id":"W2979703515","doi":"10.1109/ccece.2019.8861862","title":"Modulation Assignment in Elastic Optical Networks Using Data Analytics","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Analytics; Blocking (statistics); Bandwidth (computing); Data analysis; Modulation (music); Cloud computing; Computer network; Routing (electronic design automation); Data mining","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":[0.00008540777,0.0001060999,0.0001440128,0.0000643096,0.000009780176,0.00001844116,0.0002406936,0.0001153041,0.00004769693],"category_scores_gemma":[0.00003923681,0.000100331,0.00001193457,0.0002603414,0.00002373407,0.0002076312,0.0001886144,0.0002101884,0.00003120496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236543,"about_ca_system_score_gemma":0.000004231995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000146706,"about_ca_topic_score_gemma":0.000008518196,"domain_scores_codex":[0.9992252,0.000004987156,0.0001970748,0.0001959412,0.0001098775,0.0002669298],"domain_scores_gemma":[0.9993078,0.0001028546,0.00001152591,0.0005375452,0.000008364573,0.00003198674],"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":[0.000001876833,0.000007795267,0.002558847,0.000006535704,0.00000784338,0.000002533328,0.00000129804,0.9890959,0.0003014399,0.002737079,0.00002811201,0.005250775],"study_design_scores_gemma":[0.000130825,0.00001098222,0.001918506,0.00002215883,0.000006580676,0.000001378555,0.00001873567,0.9969791,0.00003186073,0.0006830304,0.00006936736,0.0001274519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1257147,0.00006443974,0.8718662,0.00001726804,0.0001620531,0.000122245,9.882746e-7,0.000326359,0.001725775],"genre_scores_gemma":[0.8803303,0.00002544201,0.1195466,0.000009453506,0.0000318689,0.000001294263,0.00001455881,0.00001841038,0.00002211232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7546156,"threshold_uncertainty_score":0.409138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749615323742015,"score_gpt":0.2603991220292692,"score_spread":0.2229029687918491,"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."}}