{"id":"W3092216679","doi":"10.1109/lpt.2020.3030696","title":"Comparison of Short Blocklength Sphere Shaping and Nonlinearity Compensation in WDM Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplexing; Nonlinear system; Decoding methods; Compensation (psychology); Context (archaeology); Wavelength-division multiplexing; Transmission (telecommunications); Probabilistic logic; Optical communication; Topology (electrical circuits)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009647709,0.0001866459,0.0004756728,0.0001742208,0.00002676306,0.00001589199,0.0002920548,0.000357197,0.000001940865],"category_scores_gemma":[0.00004994221,0.0002103288,0.00002904587,0.0005702135,0.0002478694,0.00006342571,0.00008203877,0.000705504,0.000004351088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006786497,"about_ca_system_score_gemma":0.000007572628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143188,"about_ca_topic_score_gemma":0.00002947901,"domain_scores_codex":[0.9988275,0.00001333997,0.0004759526,0.0002614177,0.0001222584,0.0002995657],"domain_scores_gemma":[0.999568,0.00006429644,0.00005117624,0.0002548954,0.00002309669,0.00003855284],"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":[0.00002650021,0.00008291177,0.1575034,0.0006249943,0.0001268137,0.00005036381,0.0003364001,0.3355921,0.4958252,0.002953153,0.0008870757,0.005991115],"study_design_scores_gemma":[0.0002377501,0.00005945413,0.0007754924,0.00007371676,0.00001606992,0.000006961418,0.0003170214,0.9411944,0.05671904,0.00005999442,0.0003293919,0.0002107566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924989,0.0009319671,0.002498879,0.002394672,0.0001709014,0.000313038,0.000007048332,0.00111422,0.00007040863],"genre_scores_gemma":[0.9923849,0.000100788,0.0073351,0.0001079096,0.00001556085,0.00002351314,0.000003017033,0.00002897425,2.340026e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6056022,"threshold_uncertainty_score":0.857696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701581493674291,"score_gpt":0.2691655823256068,"score_spread":0.2321497673888639,"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."}}