{"id":"W3120615618","doi":"10.1364/opn.31.12.000037","title":"Ultra-High-Speed Time-Frequency Signal Processing","year":2020,"lang":"en","type":"article","venue":"Optics and Photonics News","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Waveform; Spectrogram; Signal processing; Time–frequency analysis; Broadband; SIGNAL (programming language); Multidimensional signal processing; Electronic engineering; Fourier transform; Radar; Telecommunications; Physics; Speech recognition; Engineering","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":[0.00003229597,0.0001844949,0.0002161507,0.0000232033,0.0001259822,0.00009275416,0.0001836529,0.0000629448,0.0002000644],"category_scores_gemma":[0.000005735261,0.0001729689,0.00004549979,0.0001672573,0.00007976123,0.0001488542,0.00005997135,0.0002549835,0.00004694836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009573237,"about_ca_system_score_gemma":0.00005415896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003041587,"about_ca_topic_score_gemma":9.179481e-7,"domain_scores_codex":[0.9991246,0.000008905245,0.0001941477,0.000303456,0.0001104439,0.0002583998],"domain_scores_gemma":[0.9995472,0.0000289223,0.0001001325,0.0001587945,0.00004820236,0.000116699],"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":[0.0001090072,0.0003397906,0.01003957,0.0002110043,0.0002525811,0.00004154447,0.002606467,0.002853349,0.5215142,0.1794049,0.001884132,0.2807434],"study_design_scores_gemma":[0.004249502,0.001028698,0.0002940855,0.0001858385,0.0002830498,0.00001068367,0.002729996,0.1709448,0.5253529,0.242851,0.0493385,0.002730926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8634709,0.0009258915,0.04422085,0.004362475,0.0001057138,0.0008631561,0.0002560708,0.000606808,0.08518814],"genre_scores_gemma":[0.9664502,0.00003232827,0.0328856,0.0002684144,0.00008952647,0.000009046876,0.00003483149,0.00003112112,0.0001989697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2780125,"threshold_uncertainty_score":0.7053468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167864853690495,"score_gpt":0.2259436718279728,"score_spread":0.2142650232910678,"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."}}