{"id":"W3028662136","doi":"10.1364/ol.393917","title":"Active terahertz time differentiator using piezoelectric micromachined ultrasonic transducer array","year":2020,"lang":"en","type":"article","venue":"Optics Letters","topic":"Terahertz technology and applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Chicoutimi; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terahertz radiation; Differentiator; Optics; Transducer; Materials science; Piezoelectricity; Ultrasonic sensor; Optoelectronics; SIGNAL (programming language); Bandwidth (computing); Acoustics; Physics; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001579811,0.0001854139,0.0001719088,0.00006126983,0.00008573529,0.00002847349,0.0002043057,0.0001057177,0.000107904],"category_scores_gemma":[0.000006833584,0.0001944652,0.00007437784,0.0002747445,0.00004248706,0.00007926843,0.000008126993,0.0003251738,0.0001313027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005620703,"about_ca_system_score_gemma":0.000008221009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001966775,"about_ca_topic_score_gemma":4.195331e-7,"domain_scores_codex":[0.9992799,0.00001240392,0.0001534973,0.0002064735,0.00007304934,0.0002746596],"domain_scores_gemma":[0.9996772,0.0000331443,0.00002499629,0.0001753794,0.00000926444,0.00008003327],"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":[0.00000619456,0.00001613475,0.00005432683,0.00001319452,0.00008409583,0.000002957606,0.0003456493,0.0004472909,0.9898108,0.00003826231,0.0003579607,0.00882311],"study_design_scores_gemma":[0.001117315,0.0000692698,0.001975463,0.00003057886,0.0002274696,0.0000304087,0.00004533551,0.245598,0.737287,0.00008337802,0.01256276,0.0009729535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911212,0.00005652276,0.104724,0.003073729,0.0000595019,0.0001605981,0.00002221538,0.0005646261,0.0002176229],"genre_scores_gemma":[0.9922132,0.00001159347,0.006432355,0.001144751,0.00009346901,0.00001818077,0.00002013329,0.000051586,0.00001469586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2525238,"threshold_uncertainty_score":0.7930062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007643936880931439,"score_gpt":0.190214887044255,"score_spread":0.1825709501633236,"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."}}