{"id":"W3123834545","doi":"10.1109/jphot.2021.3054240","title":"Demonstration of 108 Gb/s Duo-Binary PAM-8 Transmission and the Probabilistic Modeling of DB-PAM-M BER","year":2021,"lang":"en","type":"article","venue":"IEEE photonics journal","topic":"Optical Network Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); McGill University","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Fonds de recherche du Québec – Nature et technologies; International Society for Optical Engineering","keywords":"Bit error rate; Low-density parity-check code; Binary number; Forward error correction; Pseudorandom binary sequence; Computer science; Probabilistic logic; Transmission (telecommunications); Algorithm; Electronic engineering; Telecommunications; Mathematics; Decoding methods; Engineering; Arithmetic","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":[0.0003355527,0.0001973157,0.0001681332,0.0001410635,0.0001953719,0.0001837707,0.0002945567,0.0003914127,0.0009616379],"category_scores_gemma":[0.0006860527,0.0001399788,0.0001242418,0.0001283876,0.0002373912,0.0003016582,0.0001995257,0.0003633143,0.0001418606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374426,"about_ca_system_score_gemma":0.0001661028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269267,"about_ca_topic_score_gemma":0.001075488,"domain_scores_codex":[0.9998535,0.00003195303,0.000005111699,0.00002456619,0.00006688555,0.00001794376],"domain_scores_gemma":[0.9996965,0.0001943894,0.0000357371,0.00002885161,0.00003225978,0.00001226686],"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":[0.0003370011,0.0001679747,0.01086179,0.0001580573,0.00005510628,0.000745068,0.0003743162,0.2524636,0.6775191,0.03731002,0.0006960031,0.01931202],"study_design_scores_gemma":[0.000005925351,0.0000657032,0.001873381,0.000007166982,0.000005077283,0.0001819476,0.0000146392,0.9032762,0.09196458,0.002220051,0.00037004,0.00001529696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060608,0.000120268,0.0899137,0.0001971566,0.00001609059,0.00001347691,0.0001393649,0.0002785699,0.003260552],"genre_scores_gemma":[0.9919282,0.00003786214,0.007425497,0.000009508647,0.000002834106,0.000005458284,0.0000203632,0.000008329766,0.0005619007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001269267,"threshold_uncertainty_score":0.003216982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171400673035018,"score_gpt":0.2102783852900761,"score_spread":0.1985643785597259,"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."}}