{"id":"W2324785112","doi":"10.1109/jlt.2015.2494078","title":"Digital Signal Processing for Dual-Polarization Intensity and Interpolarization Phase Modulation Formats Using Stokes Detection","year":2015,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stokes parameters; Digital signal processing; Computer science; Modulation (music); Waveform; Signal processing; Phase-shift keying; Algorithm; Bit error rate; Intensity modulation; Electronic engineering; Phase modulation; Optics; Telecommunications; Physics; Computer hardware; Phase noise; Engineering; Decoding methods","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":[0.0001817685,0.0001351946,0.0002417408,0.0006023936,0.00006608489,0.00008677792,0.00008368436,0.0002953222,4.462458e-7],"category_scores_gemma":[0.0001746431,0.0001247673,0.00003634984,0.0003855076,0.00009150083,0.0010585,0.00004766363,0.0002693082,5.249087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165214,"about_ca_system_score_gemma":0.00002419368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.524114e-7,"about_ca_topic_score_gemma":0.000001178255,"domain_scores_codex":[0.9991475,0.000006323246,0.0004373442,0.00009748885,0.0001296537,0.0001817426],"domain_scores_gemma":[0.9991555,0.00002400391,0.0002256965,0.00007860075,0.0004622882,0.00005396425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002412834,0.00009036361,0.001700561,0.0001060774,0.00008283614,0.00001190871,0.0002280965,0.01203667,0.1952811,0.0008582485,0.0000411844,0.7893217],"study_design_scores_gemma":[0.0009824549,0.0005471757,0.00007739332,0.00008230385,0.00004264219,0.0004465383,0.0003147004,0.9394425,0.04755642,0.01008794,0.0002765243,0.0001434419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4930442,0.0001493766,0.5063012,0.00007733505,0.000116466,0.00009659849,0.000002171795,0.0001969853,0.00001571693],"genre_scores_gemma":[0.9759277,0.00001281789,0.0239247,0.000006795247,0.00009430593,0.000002443853,0.000004428646,0.00002376473,0.000003010087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9274058,"threshold_uncertainty_score":0.5087863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230444227589001,"score_gpt":0.2573331207222802,"score_spread":0.2350286784463901,"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."}}