{"id":"W4320150681","doi":"10.1364/fio.2022.jtu4a.71","title":"Photonics Enabled Real-time Spectrogram for Continuous Signal Processing","year":2022,"lang":"en","type":"article","venue":"Frontiers in Optics + Laser Science 2022 (FIO, LS)","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Spectrogram; Photonics; Computer science; SIGNAL (programming language); Computation; Signal processing; Time–frequency analysis; Gapless playback; Physics; Algorithm; Optics; Speech recognition; Digital signal processing; Telecommunications; Computer hardware","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001312164,0.0002815916,0.0004445553,0.0003752341,0.0005753373,0.0002479947,0.001050131,0.00007501917,0.0002303509],"category_scores_gemma":[0.00006292511,0.0003047774,0.0001121068,0.001655766,0.0003582706,0.0004685267,0.0002609753,0.0004759042,0.00001017616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006618036,"about_ca_system_score_gemma":0.0003806154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001617347,"about_ca_topic_score_gemma":0.000007670549,"domain_scores_codex":[0.9970817,0.00003454929,0.0004380562,0.0005918395,0.000754217,0.001099663],"domain_scores_gemma":[0.9991511,0.00007675128,0.00008732267,0.0003602584,0.0000957127,0.000228874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007856241,0.002029452,0.00438294,0.001197141,0.0003276293,0.0005423874,0.007150289,0.7259285,0.122086,0.01234586,0.04863915,0.07458504],"study_design_scores_gemma":[0.0006408897,0.0002304065,0.0000582198,0.00002203995,0.0000311353,0.00001117665,0.001190638,0.9748114,0.008138807,0.001464265,0.01297752,0.0004235537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8303303,0.003138825,0.07074834,0.0003665235,0.005678541,0.003479694,0.0003267109,0.001445275,0.08448581],"genre_scores_gemma":[0.83373,0.0003158069,0.1626489,0.0002191877,0.0001273469,0.0006740859,0.00005529173,0.0001172412,0.002112168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488828,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005643690272217811,"score_gpt":0.2178218187502464,"score_spread":0.2121781284780286,"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."}}