{"id":"W2759330029","doi":"10.1109/lpt.2017.2754501","title":"Modulation Classification Using Received Signal’s Amplitude Distribution for Coherent Receivers","year":2017,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency; Research and Development Corporation of Newfoundland and Labrador","keywords":"Modulation (music); Amplitude modulation; SIGNAL (programming language); Optical modulation amplitude; Pulse-amplitude modulation; Quadrature amplitude modulation; Analog transmission; Amplitude; Frequency modulation; Computer science; Physics; Electronic engineering; Telecommunications; Optics; Radio frequency; Optical amplifier; Acoustics; Bit error rate; Analog signal; Channel (broadcasting); Engineering; Detector; Transmission (telecommunications); Laser","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":[0.0006486489,0.0004751721,0.0005031406,0.0009573241,0.0004594888,0.0009256812,0.0006781999,0.0006730847,0.0008135635],"category_scores_gemma":[0.002511712,0.0001385023,0.0002946092,0.0006134587,0.0004324474,0.0009713775,0.0003862353,0.0005678369,0.0005804869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672494,"about_ca_system_score_gemma":0.0005697026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005783097,"about_ca_topic_score_gemma":0.0006186043,"domain_scores_codex":[0.9995165,0.00007929471,0.00003554028,0.00009055041,0.0002300884,0.00004811958],"domain_scores_gemma":[0.9991044,0.0003019244,0.0001454281,0.0001149264,0.0003012207,0.00003201171],"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":[0.0003629925,0.0001850395,0.005132291,0.00007987366,0.00004087402,0.00008710632,0.00009171134,0.04717878,0.06452945,0.0100997,0.001315883,0.8708964],"study_design_scores_gemma":[0.00003818301,0.0001772167,0.002372509,0.00001756386,0.00003204584,0.0002684174,0.00003625131,0.9498793,0.04006265,0.004836485,0.002252888,0.00002643209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06063638,0.0004167454,0.9360651,0.0002309761,0.00008271954,0.00006811407,0.00003193925,0.0004327585,0.002035352],"genre_scores_gemma":[0.5705518,0.0003206942,0.4265935,0.0001929044,0.0001485095,0.00007785519,0.0001450876,0.00003860181,0.001931123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009573241,"threshold_uncertainty_score":0.003430426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972314506113912,"score_gpt":0.2752689079454291,"score_spread":0.23554576288429,"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."}}