{"id":"W2082095766","doi":"10.1364/eceoc.2012.th.3.a.4","title":"Generation and Detection of a 112-Gb/s Dual Polarization Signal Using a Directly Modulated Laser and Half-16-QAM Nyquist-Subcarrier-Modulation","year":2012,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Subcarrier; Quadrature amplitude modulation; Pulse-amplitude modulation; Nyquist–Shannon sampling theorem; QAM; Symbol rate; Optical modulation amplitude; Physics; Modulation (music); Optics; Subcarrier multiplexing; Analog transmission; Electronic engineering; Computer science; Laser; Telecommunications; Orthogonal frequency-division multiplexing; Digital signal processing; Bit error rate; Analog signal; Pulse (music); Optical amplifier; Engineering; Acoustics","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":[0.0001309486,0.0001311485,0.0001426403,0.0001253242,0.0000674751,0.00003288182,0.00002188278,0.0001790911,0.00001160565],"category_scores_gemma":[0.00003891635,0.0001299219,0.00001821076,0.0002358888,0.00005068629,0.0004222759,0.00002881306,0.00009242039,8.743262e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006140611,"about_ca_system_score_gemma":0.000003833391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006621579,"about_ca_topic_score_gemma":0.0000392815,"domain_scores_codex":[0.999325,0.00002486831,0.0002136444,0.0001323123,0.0001124255,0.0001917153],"domain_scores_gemma":[0.9997301,0.00002379831,0.0000397549,0.0001014073,0.00005193323,0.00005300036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009037934,0.00001615596,0.008354589,0.00003604641,0.00003892737,2.661026e-7,0.0000833274,0.03344016,0.9365267,0.0006069918,0.00000499714,0.02088282],"study_design_scores_gemma":[0.000163717,0.00003135562,0.01385831,0.00000901303,0.00003335096,0.000009126026,0.00002146824,0.7889643,0.1966611,0.0001056672,0.00001945866,0.0001230731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703383,0.0002959254,0.1286456,0.00001221997,0.0001209607,0.000146955,0.000002269444,0.0003311741,0.0001065908],"genre_scores_gemma":[0.9910628,0.00001894769,0.008735646,0.000005584624,0.0001183474,0.000004809164,0.00001618009,0.00002415244,0.0000135401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7555242,"threshold_uncertainty_score":0.5298061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906640057147423,"score_gpt":0.2168406665179702,"score_spread":0.1977742659464959,"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."}}