{"id":"W3088261474","doi":"10.1109/icton51198.2020.9203518","title":"Polarisation-Insensitive Fibre Optic Parametric Amplifiers for Applications in Modern Communication Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Bit error rate; Optical amplifier; Parametric statistics; Phase-shift keying; Amplifier; Channel (broadcasting); Computer science; Broadband; Electronic engineering; Optical communication; Physics; Optics; Optical fiber; Telecommunications; Bandwidth (computing); Engineering; Mathematics; Laser","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":[0.00006673482,0.000112685,0.0001504705,0.00008919197,0.00005226318,0.00003415116,0.0002059974,0.0001476661,0.000003927602],"category_scores_gemma":[0.000107599,0.0001171643,0.00003912784,0.0007751681,0.00004738811,0.00009765873,0.00004933675,0.0002243755,0.000008402698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006899203,"about_ca_system_score_gemma":0.000006639571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008399802,"about_ca_topic_score_gemma":0.00001372238,"domain_scores_codex":[0.9993579,0.00001243308,0.0002069422,0.0001533356,0.00006054027,0.0002088656],"domain_scores_gemma":[0.999136,0.0004703397,0.00002148731,0.0002791592,0.00003735901,0.0000557111],"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":[0.000005711274,0.00001270753,0.0008557697,0.00002380434,0.00001973935,2.265784e-7,0.0001335506,0.9437914,0.00005642636,0.04107509,0.0005502859,0.01347527],"study_design_scores_gemma":[0.0001608674,0.00002018741,0.001148348,0.000007133264,0.000009475075,3.529666e-7,0.0004099062,0.9927735,0.00009659413,0.004910517,0.0003296431,0.0001334811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03556947,0.0005472782,0.9599899,0.0007636963,0.00001519994,0.0007736196,0.00001011326,0.0009321391,0.001398568],"genre_scores_gemma":[0.9217039,0.0001040809,0.07775962,0.0001085453,0.00002449927,0.0001938353,0.0000746688,0.00002446158,0.000006426267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8861344,"threshold_uncertainty_score":0.477782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858160230844293,"score_gpt":0.2275083968799279,"score_spread":0.2089267945714849,"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."}}