{"id":"W2799118868","doi":"10.1109/ecoc.2017.8345889","title":"Analysis of Potential Terrestrial System Effects from Raman Pumps below Cable Cut-off in G.654.E Fibres","year":2017,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Raman amplification; Raman spectroscopy; SIGNAL (programming language); Wavelength; Optical fiber cable; Physics; Computer science; Optical fiber; Materials science; Optoelectronics; Electrical engineering; Optics; Engineering; Raman scattering","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":[0.0001125132,0.0001652957,0.0005387803,0.0002583746,0.00006374108,0.00009535882,0.0005201522,0.0002212753,0.00003813165],"category_scores_gemma":[0.0001310716,0.0001472827,0.0001482393,0.0002490921,0.00009734101,0.0001603415,0.0001622023,0.0001687337,0.00001916235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006722045,"about_ca_system_score_gemma":0.000007044519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456666,"about_ca_topic_score_gemma":0.001067666,"domain_scores_codex":[0.998981,0.00002410882,0.0003089719,0.0002163237,0.0001721468,0.0002974242],"domain_scores_gemma":[0.9989378,0.0001453621,0.00006610499,0.0007917332,0.000012172,0.00004675389],"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":[0.0001173417,0.00009495209,0.05599778,0.0003417401,0.003367646,0.0002439228,0.0001336544,0.8940555,0.00934712,0.001762552,0.001637636,0.03290015],"study_design_scores_gemma":[0.0006810025,0.00003683204,0.04875561,0.0001128012,0.0004271727,4.168059e-7,0.00009972463,0.9410485,0.008476015,0.0001070412,0.00005502706,0.0001998784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937039,0.0001797454,0.002194578,0.000045021,0.000582498,0.0001844391,0.00001438016,0.0005270638,0.002568385],"genre_scores_gemma":[0.9971828,0.000027812,0.002593689,0.000001916498,0.0001021134,0.00001005258,0.00001549069,0.00001935501,0.00004676098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04699297,"threshold_uncertainty_score":0.6006015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006732011674218012,"score_gpt":0.2130289565768142,"score_spread":0.2062969449025962,"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."}}