{"id":"W4290717183","doi":"10.1364/cleo_si.2022.stu5l.1","title":"Generation and manipulation in parallel of a terahertz pulse train with sub-picosecond resolution","year":2022,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Terahertz technology and applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; Université de Sherbrooke; École de Technologie Supérieure","funders":"","keywords":"Terahertz radiation; Picosecond; Common emitter; Optoelectronics; Ultrashort pulse; Pulse (music); Optics; Resolution (logic); Terahertz spectroscopy and technology; Materials science; Computer science; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006180696,0.00008001515,0.00009593191,0.0000899734,0.00007362931,0.00001269395,0.0000407238,0.00004881651,0.00001563053],"category_scores_gemma":[0.000002377196,0.00008157994,0.000007469083,0.0001160443,0.00003814837,0.00005254898,0.00001028902,0.000168714,3.161032e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002878744,"about_ca_system_score_gemma":0.00001368568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000686868,"about_ca_topic_score_gemma":0.0001596376,"domain_scores_codex":[0.9995626,0.0000159269,0.0001192691,0.0001248257,0.00005563733,0.0001217386],"domain_scores_gemma":[0.9998355,0.00001231834,0.00002676791,0.00009109396,0.00001319018,0.0000211426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002195882,0.0002148089,0.00463297,0.00009100501,0.00006299204,0.0000118464,0.00120995,0.02927209,0.5175544,0.268796,0.0003477158,0.1775866],"study_design_scores_gemma":[0.001020725,0.0006452225,0.01192067,0.00001852129,0.000020294,0.00002256591,0.0002587806,0.959914,0.02068142,0.004347079,0.0009019585,0.000248713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947603,0.0001157705,0.004232346,0.0002770115,0.00001270368,0.000150524,0.00001118407,0.00004238975,0.0003977103],"genre_scores_gemma":[0.9990246,0.0001699627,0.0006155665,0.00003118411,0.000008830025,0.00007318956,0.00004125957,0.000008745715,0.00002661493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306419,"threshold_uncertainty_score":0.3326734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337236746572877,"score_gpt":0.2152240727794199,"score_spread":0.1918517053136911,"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."}}