{"id":"W2334206875","doi":"10.1364/acpc.2015.as4g.3","title":"Modeling Next Generation Transparent Optical Network","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Blocking (statistics); Node (physics); Computer network; Metric (unit); Process (computing); Service (business); Distributed computing; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006578465,0.0001030979,0.000110188,0.00001818549,0.00002268937,0.00002698081,0.00009608299,0.00009353126,0.00001333083],"category_scores_gemma":[0.00001996202,0.00009264544,0.00002389464,0.0001212451,0.00002008845,0.0001594861,0.00001807125,0.0001364107,0.00005047835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005448982,"about_ca_system_score_gemma":0.000005477339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001055505,"about_ca_topic_score_gemma":0.00001584897,"domain_scores_codex":[0.999348,0.000004003562,0.0001542065,0.0001152705,0.0001112056,0.0002673116],"domain_scores_gemma":[0.9997098,0.00001236756,0.000003165452,0.0001566729,0.0000266419,0.00009136873],"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":[0.000001694611,0.000003707133,0.000007510438,0.000002203976,0.000005933665,0.000001774603,0.00001125187,0.9716902,0.0002944434,0.01771203,0.001097409,0.009171782],"study_design_scores_gemma":[0.000107207,0.00001862656,0.000001236879,0.000004850821,0.000005399581,0.000001981343,0.0000371642,0.9927163,0.0002276703,0.006247502,0.0005081269,0.0001240005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06018808,0.0006891516,0.9299726,0.0001085236,0.0003069231,0.00007284527,2.24002e-7,0.001466981,0.007194701],"genre_scores_gemma":[0.6987209,0.00007091613,0.3008628,0.00002838423,0.0002631606,0.00001139305,0.00000455711,0.00001703284,0.00002085672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6385328,"threshold_uncertainty_score":0.3777971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210025421730802,"score_gpt":0.264016088368296,"score_spread":0.1430135461952159,"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."}}