{"id":"W2576845075","doi":"10.1016/j.scib.2017.01.021","title":"Reconfigurable single-shot incoherent optical signal processing system for chirped microwave signal compression","year":2017,"lang":"en","type":"article","venue":"Science Bulletin","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SIGNAL (programming language); Microwave; Pulse compression; Signal processing; Chirp; Optics; Signal compression; Computer science; Physics; Digital signal processing; Telecommunications; Computer hardware; Radar; Laser","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":[0.000128167,0.0004517501,0.0003625657,0.000440372,0.0004436245,0.0003994307,0.0008318008,0.0003558387,0.002324166],"category_scores_gemma":[0.0001831848,0.0002072887,0.0001694397,0.0003151297,0.0001633478,0.0004646916,0.0003056262,0.0003429392,0.0006036141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974525,"about_ca_system_score_gemma":0.0004192067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004412796,"about_ca_topic_score_gemma":0.001740137,"domain_scores_codex":[0.999793,0.00001860402,0.000008024659,0.00006488446,0.0000851601,0.0000303456],"domain_scores_gemma":[0.999822,0.0000310401,0.00003763274,0.00002940185,0.00005423561,0.00002569452],"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":[0.0003608543,0.0001816347,0.0008441926,0.00005299444,0.00002895656,0.0001864981,0.00005217,0.002288874,0.9408719,0.001442445,0.001227806,0.0524617],"study_design_scores_gemma":[0.0001152365,0.001057817,0.004622364,0.00001778581,0.0001026175,0.0008630336,0.00004199283,0.2054258,0.778704,0.0007658698,0.008198053,0.00008546967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7457143,0.0008551984,0.2327784,0.0005354959,0.0004249958,0.0001719724,0.0002906296,0.002333769,0.01689521],"genre_scores_gemma":[0.92847,0.0001582293,0.06410696,0.000221277,0.0001207362,0.0000602508,0.0001979957,0.00004872037,0.006615852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002324166,"threshold_uncertainty_score":0.007775128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608803757467667,"score_gpt":0.2825501861933071,"score_spread":0.2364621486186304,"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."}}