{"id":"W2332295693","doi":"10.1109/jlt.2015.2503327","title":"Wavelength Reuse in a Symmetrical Radio Over WDM-PON Based on Polarization Multiplexing and Coherent Detection","year":2015,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Passive optical network; Polarization-division multiplexing; Multiplexing; Optical communications repeater; Quadrature amplitude modulation; Optical performance monitoring; Optical cross-connect; Electronic engineering; Optical line termination; Optics; Optical Carrier transmission rates; QAM; Physics; Wavelength-division multiplexing; Optical amplifier; Upstream (networking); Computer science; Optical fiber; Engineering; Telecommunications; Wavelength; Radio over fiber; Bit error rate; Laser; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259976,0.0003381917,0.0002119466,0.0002647591,0.0002128606,0.0003732457,0.0009176531,0.0002991254,0.0004099692],"category_scores_gemma":[0.0002831398,0.0001777641,0.0001945894,0.0002336114,0.0004149288,0.0006100325,0.0003517507,0.0002349718,0.000171287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492233,"about_ca_system_score_gemma":0.0004580288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006619923,"about_ca_topic_score_gemma":0.0009249573,"domain_scores_codex":[0.9996086,0.00009365392,0.00001407883,0.00007026125,0.0001568193,0.00005661803],"domain_scores_gemma":[0.9996914,0.00005417766,0.0001032227,0.00005406947,0.00007556348,0.0000216963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002907607,0.0001571592,0.00200635,0.00009381926,0.00002907663,0.0003271231,0.0001065705,0.006217976,0.927527,0.01057516,0.0002949941,0.05237405],"study_design_scores_gemma":[0.00008406627,0.00103532,0.003229292,0.00001459405,0.00007017158,0.001112688,0.00004326053,0.3023676,0.6860505,0.001896759,0.004044402,0.00005132971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8124173,0.0002687449,0.181191,0.0001417263,0.00003985115,0.00006380001,0.00003764682,0.0005597096,0.005280375],"genre_scores_gemma":[0.9657819,0.00005862323,0.03305772,0.00003101715,0.000009954298,0.00001321097,0.00002190655,0.000007735399,0.00101792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009176531,"threshold_uncertainty_score":0.002533793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175979146108249,"score_gpt":0.2469652171482123,"score_spread":0.2293673025373874,"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."}}