{"id":"W2166715707","doi":"10.1109/cwit.2011.5872133","title":"The per-sample capacity of zero-dispersion optical fibers","year":2011,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dispersion (optics); Gaussian; Amplitude; Channel capacity; Mathematics; Noise (video); Physics; Nonlinear system; Power (physics); Gaussian noise; Nonlinear Schrödinger equation; Zero (linguistics); Modulation (music); Mathematical analysis; Optics; Telecommunications; Channel (broadcasting); Quantum mechanics; Computer science; Acoustics; Algorithm","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":[0.002356777,0.0005006343,0.0007148978,0.001003565,0.0005224489,0.002336359,0.001282409,0.0007005001,0.002571424],"category_scores_gemma":[0.01237735,0.000317332,0.0002766665,0.001076983,0.002691388,0.00317081,0.001281745,0.000815739,0.0002574648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932064,"about_ca_system_score_gemma":0.001893235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514104,"about_ca_topic_score_gemma":0.0008381176,"domain_scores_codex":[0.9984702,0.0005225012,0.00005675271,0.000153719,0.0004932447,0.0003034906],"domain_scores_gemma":[0.9904289,0.007339858,0.0004548203,0.0007353107,0.0008313592,0.0002097966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001394965,0.00002809582,0.0004118996,0.0001263593,0.00002161285,0.0001741265,0.0001031546,0.4588009,0.006385953,0.5251645,0.0009406265,0.007703296],"study_design_scores_gemma":[0.000008791215,0.00001752662,0.0002189096,0.00003912667,0.000006038836,0.00009464489,0.00002738154,0.8479725,0.003020128,0.1478569,0.0007091442,0.00002890252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5044228,0.002960773,0.4511777,0.001548699,0.0001404633,0.00006970486,0.001162388,0.0003987456,0.03811871],"genre_scores_gemma":[0.9875474,0.0008781417,0.008618593,0.0000613842,0.0000818198,0.00006829373,0.0001850112,0.0000606307,0.002498751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002571424,"threshold_uncertainty_score":0.01401824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479242590231812,"score_gpt":0.1922458712229944,"score_spread":0.1674534453206763,"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."}}