{"id":"W2067586636","doi":"10.1364/oe.22.004083","title":"Wavelength conversion of 28 GBaud 16-QAM signals based on four-wave mixing in a silicon nanowire","year":2014,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Network Technologies","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"Optics; Wavelength; Materials science; Quadrature amplitude modulation; Four-wave mixing; SIGNAL (programming language); Dispersion (optics); Energy conversion efficiency; Optoelectronics; Bit error rate; Physics; Nonlinear optics; Telecommunications; Laser; Computer science","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":[0.0001589418,0.0002136813,0.0001867135,0.0001174671,0.000149437,0.0002338416,0.0001992475,0.0001716367,0.0006183146],"category_scores_gemma":[0.0002951667,0.0001000951,0.00008396641,0.0001695554,0.0002637694,0.0002302668,0.0001676556,0.0001773838,0.0001333223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633884,"about_ca_system_score_gemma":0.000232664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008653092,"about_ca_topic_score_gemma":0.001472342,"domain_scores_codex":[0.999895,0.00001124018,0.000008072587,0.00002109155,0.00004921741,0.00001536609],"domain_scores_gemma":[0.9998379,0.00005573815,0.00004220051,0.00002340606,0.00002892115,0.00001176055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007884598,0.0000247774,0.0008399261,0.00002316373,0.000004932354,0.00009368952,0.00004533114,0.001296477,0.9945163,0.0005509983,0.00004472762,0.002480829],"study_design_scores_gemma":[0.00001198587,0.0001011309,0.001159129,0.000003706846,0.000004134926,0.00005048283,0.00001235535,0.01043358,0.987706,0.0001056245,0.0004078481,0.000004025067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977199,0.00003253614,0.001388893,0.00002477829,0.000006184891,0.000004896578,0.00002819925,0.00003166823,0.0007628623],"genre_scores_gemma":[0.9954435,0.00006044997,0.003464192,0.000007489958,0.000002449317,0.00001122748,0.00003466183,0.0000107602,0.0009652709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008653092,"threshold_uncertainty_score":0.00206846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589626344594098,"score_gpt":0.2039885958672059,"score_spread":0.1880923324212649,"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."}}