{"id":"W2612154957","doi":"10.1364/cleo_si.2017.sf1l.6","title":"Interplay of Bit Rate, Linewidth, and Reach on DMT vs. PAM Performance","year":2017,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Laser linewidth; Bit rate; Bandwidth (computing); Bit error rate; Computer science; Electronic engineering; Optoelectronics; Optics; Materials science; Physics; Laser; Telecommunications; Engineering; Computer network; Decoding methods","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":[0.001072185,0.000571801,0.0005488393,0.0007099099,0.0005254842,0.001071227,0.0005324018,0.001026476,0.003274491],"category_scores_gemma":[0.006828468,0.0003719,0.0003462689,0.0006228238,0.001028881,0.001426544,0.0007300037,0.0005074769,0.0007569863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007661051,"about_ca_system_score_gemma":0.0004286673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067132,"about_ca_topic_score_gemma":0.001157411,"domain_scores_codex":[0.9992029,0.000216855,0.00001813295,0.000115641,0.0002299147,0.000216562],"domain_scores_gemma":[0.99434,0.004713698,0.0004338422,0.000168468,0.0002428317,0.0001010877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001247221,0.0001667505,0.008934584,0.0004286492,0.0001188096,0.001070319,0.0002563656,0.6340662,0.2910218,0.04066127,0.001000234,0.02102778],"study_design_scores_gemma":[0.00005897008,0.0007241932,0.006723098,0.000128326,0.0001876387,0.000915418,0.0001371349,0.8227543,0.1569963,0.009441121,0.001821714,0.0001116927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218577,0.001923348,0.03785676,0.0007724634,0.00004760128,0.00003290161,0.0002601036,0.0003811476,0.036868],"genre_scores_gemma":[0.9982845,0.0002691582,0.0009457449,0.0000295128,0.00001950783,0.000009331332,0.00001792531,0.00003368074,0.0003905872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003274491,"threshold_uncertainty_score":0.01095432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368494116736346,"score_gpt":0.236728660900328,"score_spread":0.2230437197329645,"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."}}