{"id":"W2911387168","doi":"10.1063/1.5080246","title":"High performance RF filters via bandwidth scaling with Kerr micro-combs","year":2019,"lang":"en","type":"article","venue":"APL Photonics","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":484,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences; Australian Research Council; 1000 Talents Sichuan Program; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Radio frequency; Bandwidth (computing); Resonator; Scaling; Passband; Optoelectronics; Materials science; Physics; Optics; Band-pass filter; 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":[0.00005453234,0.0002241872,0.0002443184,0.00005140719,0.00009850295,0.00003563505,0.0003183084,0.00006274732,0.0002407432],"category_scores_gemma":[0.000001246822,0.0001885879,0.00005361941,0.0001858333,0.00008039489,0.0002347436,0.0001113509,0.0003120106,0.0002529084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150527,"about_ca_system_score_gemma":0.00003695808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007182355,"about_ca_topic_score_gemma":0.000001796834,"domain_scores_codex":[0.9989449,0.000007111896,0.0001754147,0.0003375698,0.0001449208,0.0003900416],"domain_scores_gemma":[0.999195,0.00003707073,0.0001165485,0.0005614657,0.00004393039,0.00004591751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005850974,0.0006793633,0.6806681,0.0003247556,0.0008107015,0.00002196629,0.001331548,0.02972409,0.1534598,0.02076095,0.001470815,0.1101629],"study_design_scores_gemma":[0.002183506,0.0003161633,0.005623524,0.0001654219,0.00005666694,0.000006964704,0.0005213763,0.009545874,0.9627305,0.005716441,0.01223296,0.000900624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928061,0.00004221738,0.004356319,0.00008049604,0.0001584637,0.0002688469,0.00002061694,0.0001704219,0.0020965],"genre_scores_gemma":[0.9817104,0.00000931193,0.01738708,0.00009622681,0.00002864506,0.00003065451,0.00003776994,0.00004090275,0.0006589423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8092707,"threshold_uncertainty_score":0.7690393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003311955737660147,"score_gpt":0.1858898922589919,"score_spread":0.1825779365213317,"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."}}