{"id":"W2164549584","doi":"10.1109/phosst.2011.6000076","title":"Ultra-narrow-spacing Tb/s long haul transmission using soft LDPC decoding with Gaussian processes","year":2011,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decoding methods; Low-density parity-check code; Computer science; Gaussian; Compensation (psychology); Transmission (telecommunications); Nonlinear system; Algorithm; Spectral efficiency; Electronic engineering; Coding (social sciences); Gaussian process; Mathematics; Telecommunications; Physics; Engineering; Statistics","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":[0.0003274291,0.0002410905,0.0002451188,0.0001810284,0.000267741,0.0003930806,0.00029141,0.0003691681,0.0005940741],"category_scores_gemma":[0.0005490943,0.00009421325,0.00009056398,0.0002870335,0.0004641414,0.0003885021,0.0002360861,0.000203641,0.000140844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747579,"about_ca_system_score_gemma":0.0002077935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007652267,"about_ca_topic_score_gemma":0.001118693,"domain_scores_codex":[0.9998271,0.00004355545,0.000005222501,0.00001951781,0.00007194262,0.00003259245],"domain_scores_gemma":[0.9995643,0.0002000066,0.00008322484,0.0000531519,0.00007382198,0.00002546455],"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":[0.000904089,0.0002228795,0.005329722,0.0001921137,0.00005998385,0.0005488945,0.0003336543,0.1067338,0.8430112,0.01110082,0.0003730867,0.03118982],"study_design_scores_gemma":[0.00004927918,0.0005620562,0.002683215,0.00001832284,0.00003116951,0.0002061971,0.00006005452,0.5957747,0.3981334,0.001694832,0.0007571932,0.00002970854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676843,0.0001738524,0.02974534,0.00005933889,0.000008515006,0.000008975038,0.00002371253,0.0001695577,0.002126447],"genre_scores_gemma":[0.9937355,0.00005041565,0.005783448,0.000007076468,0.000003698486,0.000003533296,0.00001050336,0.000005628659,0.0004001773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007652267,"threshold_uncertainty_score":0.001993537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04862969363828516,"score_gpt":0.2619718445636173,"score_spread":0.2133421509253322,"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."}}