{"id":"W4285505856","doi":"10.1109/jlt.2022.3191244","title":"Silicon Photonic Single-Segment IQ Modulator for Net 1 Tbps/λ Transmission Using All-Electronic Equalization","year":2022,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); McGill University","funders":"CMC Microsystems","keywords":"Quadrature amplitude modulation; Forward error correction; Electronic engineering; Computer science; Photonics; Optical Carrier transmission rates; Bit error rate; Physics; Transmission (telecommunications); Optics; Telecommunications; Channel (broadcasting); Engineering; Decoding methods","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":[0.0001804446,0.0002499052,0.0002019821,0.0001329065,0.0002329125,0.0003381944,0.0002712847,0.0003480716,0.001327746],"category_scores_gemma":[0.0001973227,0.0001034641,0.0001357074,0.0001892745,0.0002005721,0.0003223222,0.0001625926,0.000253596,0.0002970998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826921,"about_ca_system_score_gemma":0.0002698093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003815577,"about_ca_topic_score_gemma":0.0009477951,"domain_scores_codex":[0.9998523,0.00001542569,0.000006680174,0.00003223795,0.00007222622,0.0000211422],"domain_scores_gemma":[0.9998634,0.0000295293,0.00004157894,0.00001378489,0.00004178788,0.000009904188],"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":[0.0001322008,0.00003942553,0.000674564,0.00004654691,0.00000797345,0.00005102952,0.00004005395,0.0007309447,0.9873973,0.001167719,0.0003956853,0.009316572],"study_design_scores_gemma":[0.0000298742,0.0004446358,0.002181179,0.000008109255,0.00002276232,0.0001510977,0.00002396223,0.03082033,0.9609233,0.0001933331,0.005188614,0.00001269316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471927,0.0004896164,0.04317404,0.0003152398,0.00006396031,0.00006588474,0.0001262583,0.0004387503,0.008133643],"genre_scores_gemma":[0.959376,0.0001691026,0.03675237,0.00007067398,0.00002583827,0.00003653039,0.00008873257,0.00001842059,0.003462327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001327746,"threshold_uncertainty_score":0.004441798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137629834052049,"score_gpt":0.2464724944879642,"score_spread":0.2250961961474437,"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."}}