{"id":"W3163005041","doi":"10.1109/tim.2021.3075526","title":"A Nonlinear Transmission Approach to Compressing Rise and Fall Time in Picosecond Pulse Generation","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rise time; Ringing; Pulse generator; Signal edge; Full width at half maximum; Pulse compression; Pulse-width modulation; Picosecond; Pulse (music); Pulse duration; Optics; Topology (electrical circuits); Waveform; Materials science; Electrical engineering; Physics; Computer science; Transmission (telecommunications); Enhanced Data Rates for GSM Evolution; Voltage; Engineering; Telecommunications; Laser","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":[0.000136441,0.0002258839,0.0001657607,0.000248012,0.0002017994,0.0002872824,0.0005722471,0.0002655025,0.001665477],"category_scores_gemma":[0.0003218033,0.0001821013,0.0001587476,0.000316098,0.000375366,0.0005424535,0.0003266789,0.000522604,0.0003785356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003448514,"about_ca_system_score_gemma":0.000240323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001742522,"about_ca_topic_score_gemma":0.0002766887,"domain_scores_codex":[0.999871,0.00001303716,0.000006035452,0.00002133991,0.00007448671,0.00001397942],"domain_scores_gemma":[0.9998882,0.00003226648,0.00002546629,0.00002097623,0.00002636308,0.000006710418],"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":[0.00006404232,0.00003384698,0.0002903509,0.0002554874,0.000009059567,0.000186997,0.0001253502,0.003832979,0.9442466,0.01707773,0.0002974255,0.0335802],"study_design_scores_gemma":[0.0000273485,0.0004315952,0.0005482407,0.00003171193,0.0000196405,0.0008187871,0.00005759758,0.08194113,0.9006415,0.002675422,0.01277588,0.00003116953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4193274,0.003188525,0.5426561,0.000766221,0.0001545721,0.0002566127,0.0001818253,0.001167783,0.03230099],"genre_scores_gemma":[0.831776,0.001865075,0.1599775,0.000157408,0.00005842376,0.0001187379,0.00008934492,0.00007697108,0.005880569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001665477,"threshold_uncertainty_score":0.005571544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200673460239737,"score_gpt":0.2315349722426283,"score_spread":0.199528237640231,"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."}}