{"id":"W4401731341","doi":"10.1002/apxr.202400084","title":"Performance Analysis of Microwave Photonic Spectral Filters based on Optical Microcombs","year":2024,"lang":"en","type":"article","venue":"Advanced Physics Research","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Swinburne University of Technology","keywords":"Bandwidth (computing); Filter (signal processing); Electronic engineering; Computer science; Optical filter; Transversal (combinatorics); Signal processing; Microwave; Band-pass filter; Photonics; Digital signal processing; Reconfigurability; Passband; Optics; Telecommunications; Physics; Engineering; Mathematics","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":[0.0002469163,0.0002400625,0.0004031124,0.0005671392,0.000129501,0.00006193948,0.0004885687,0.000060034,0.0001534483],"category_scores_gemma":[0.00001228816,0.0002234748,0.000311948,0.003281856,0.0004180404,0.0002517557,0.0001451725,0.0008812484,0.00007975218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307409,"about_ca_system_score_gemma":0.000141547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635242,"about_ca_topic_score_gemma":0.000002170197,"domain_scores_codex":[0.9978296,0.00005228305,0.0002888675,0.0005986535,0.0005340659,0.0006965988],"domain_scores_gemma":[0.9983948,0.0005586082,0.00005057771,0.0007399964,0.0001712105,0.00008475411],"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":[0.0002690799,0.0006162059,0.006418552,0.0002191438,0.001417608,0.00001919214,0.0002664409,0.202366,0.4075094,0.08020058,0.0004284208,0.3002694],"study_design_scores_gemma":[0.000310509,0.000249377,0.0008024276,0.000123475,0.0001228829,1.326164e-7,0.0001652696,0.220678,0.7673175,0.009076977,0.0009045083,0.0002490123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448475,0.00009572492,0.03908191,0.0001769234,0.0000841049,0.0003962253,0.0001522801,0.0001578223,0.01500756],"genre_scores_gemma":[0.9903253,0.00001618112,0.008923598,0.0000141606,0.00007002148,0.0001378309,0.000105391,0.00004279135,0.0003647714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.359808,"threshold_uncertainty_score":0.9113037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112912334061807,"score_gpt":0.3510359761150545,"score_spread":0.3199068527744365,"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."}}