{"id":"W4231640023","doi":"10.36227/techrxiv.11888217","title":"A photonic microwave and RF integrator based on a transversal filter","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Integrator; Waveform; SIGNAL (programming language); Radio frequency; Physics; Microwave; Optics; Time delay and integration; Filter (signal processing); Transversal (combinatorics); Optoelectronics; Computer science; Telecommunications; Electrical engineering; Engineering; Bandwidth (computing); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371498,0.000235213,0.0002700187,0.0003186736,0.0002380997,0.0005491538,0.0005588098,0.0005674771,0.001450825],"category_scores_gemma":[0.0002376666,0.0002280322,0.0001814077,0.0002706572,0.0002564789,0.0006441213,0.0003673911,0.0004279301,0.0004460355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006095434,"about_ca_system_score_gemma":0.0004991314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008320783,"about_ca_topic_score_gemma":0.001355171,"domain_scores_codex":[0.99981,0.00001561231,0.000009418208,0.00005249239,0.00008630555,0.00002618675],"domain_scores_gemma":[0.9998097,0.00003335361,0.00004724572,0.00003041393,0.00005433413,0.00002505815],"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":[0.000109935,0.00004644194,0.0003404192,0.0000283521,0.0000122604,0.00008737294,0.00002743539,0.0008847376,0.9824675,0.003878786,0.0002021731,0.01191453],"study_design_scores_gemma":[0.00004651194,0.0003711695,0.001364478,0.000007907403,0.00002900861,0.0004617175,0.000009699261,0.09428675,0.8970049,0.0005281468,0.005858995,0.00003074885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849559,0.0009428465,0.2016263,0.000360465,0.0001793101,0.0001036962,0.0002855287,0.001811374,0.009734625],"genre_scores_gemma":[0.7929658,0.0002302563,0.1994187,0.0001398734,0.00003627997,0.00005958316,0.0001296967,0.00005924624,0.006960466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001450825,"threshold_uncertainty_score":0.004853547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591492855794706,"score_gpt":0.2410699632801969,"score_spread":0.2251550347222498,"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."}}