{"id":"W2591959925","doi":"10.1364/ofc.2017.w3b.4","title":"280-Gb/s 320-km Transmission of Polarization-Division Multiplexed QAM-PAM with Stokes Vector Receiver","year":2017,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Optical Network Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); McGill University","funders":"","keywords":"Stokes parameters; Quadrature amplitude modulation; Transmission (telecommunications); Polarization-division multiplexing; Multiplexing; Computer science; QAM; Modulation (music); Polarization (electrochemistry); Optical performance monitoring; Electronic engineering; Optics; Telecommunications; Wavelength-division multiplexing; Physics; Bit error rate; Engineering; Channel (broadcasting); Wavelength; Scattering; Acoustics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288026,0.0003892092,0.0004001302,0.0003085451,0.0003107073,0.0004072414,0.0005924038,0.0004000949,0.001613213],"category_scores_gemma":[0.0002718297,0.0002590861,0.0001532817,0.0002993825,0.0003712715,0.0005769526,0.0003671,0.0003262964,0.0007548281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337236,"about_ca_system_score_gemma":0.0006739358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005710811,"about_ca_topic_score_gemma":0.001079364,"domain_scores_codex":[0.999746,0.00003886168,0.00001231864,0.00006475165,0.0000946432,0.00004343765],"domain_scores_gemma":[0.9998081,0.00003447535,0.00005335915,0.00002758557,0.00005519184,0.00002121151],"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":[0.00014275,0.00006307035,0.002020389,0.00005105542,0.00001951752,0.00009550889,0.0001084537,0.001609987,0.9813433,0.003088427,0.0003229302,0.01113464],"study_design_scores_gemma":[0.00005705189,0.0005361643,0.002162615,0.00001359331,0.00003794334,0.0004662076,0.00005470404,0.04473279,0.9452959,0.0005439688,0.006061674,0.00003738737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194169,0.000253059,0.07144869,0.0002721107,0.00003421836,0.00004475396,0.0001484335,0.0007420983,0.007639786],"genre_scores_gemma":[0.9602931,0.0001291513,0.03647085,0.00005549015,0.00003366576,0.00003595598,0.0001320409,0.00002923136,0.002820564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001613213,"threshold_uncertainty_score":0.005396664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205004682682458,"score_gpt":0.2444436974910648,"score_spread":0.2223936506642402,"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."}}