{"id":"W3010801210","doi":"10.1364/ofc.2020.th4a.3","title":"Net 212.5 Gbit/s Transmission in O-band With a SiP MZM, One Driver and Linear Equalization","year":2020,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gigabit; Equalization (audio); Transmission (telecommunications); Modulation (music); Equalizer; Computer science; Electronic engineering; Physics; Telecommunications; Decoding methods; Engineering; Channel (broadcasting)","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":[0.000100989,0.000423706,0.0001615919,0.0002382764,0.0002965404,0.000342783,0.0003188231,0.0003164846,0.003241166],"category_scores_gemma":[0.0001312876,0.0001725482,0.0001301375,0.0001283238,0.0001800639,0.0002964674,0.0002674349,0.0002281214,0.001367222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918482,"about_ca_system_score_gemma":0.0003006399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006634431,"about_ca_topic_score_gemma":0.00121147,"domain_scores_codex":[0.9999198,0.000007856423,0.00000475385,0.00001776214,0.00003071412,0.00001906117],"domain_scores_gemma":[0.9999285,0.00001167316,0.00001227531,0.00001211568,0.00002275121,0.00001267491],"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":[0.0002020823,0.0000491801,0.0009616924,0.0000647011,0.00001433158,0.0001442565,0.00006355414,0.0005228813,0.983327,0.001578968,0.0008508543,0.01222052],"study_design_scores_gemma":[0.00004362965,0.0006676902,0.003191324,0.00001751675,0.00004003239,0.0005003049,0.0000463195,0.01293789,0.965956,0.0004341455,0.01613973,0.00002541184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91935,0.0001671664,0.04541824,0.0002494447,0.00009411317,0.0001053724,0.0004473086,0.001988524,0.03217988],"genre_scores_gemma":[0.9388422,0.0001586176,0.04452556,0.0001779091,0.00006500341,0.0001017757,0.0003924451,0.0001685771,0.01556775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003241166,"threshold_uncertainty_score":0.01084274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446558710572453,"score_gpt":0.1898994617027104,"score_spread":0.1754338745969858,"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."}}