{"id":"W3098121340","doi":"10.25916/sut.26246594","title":"Integrated Kerr micro-comb sources for photonic microwave applications","year":2018,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":1,"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":"Microwave; Optical frequency comb; Optoelectronics; Photonics; Materials science; Physics; Optics; Telecommunications; Computer science; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991567,0.0004679209,0.0002843712,0.0003826104,0.0002994727,0.0006168589,0.0006267749,0.000496367,0.002826435],"category_scores_gemma":[0.0002482841,0.0001625198,0.0001712528,0.0003834006,0.0003658238,0.0008522244,0.0004543304,0.0003511556,0.0009316116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594248,"about_ca_system_score_gemma":0.0002291857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846357,"about_ca_topic_score_gemma":0.0005302932,"domain_scores_codex":[0.9998229,0.0000132268,0.000004957009,0.00003679479,0.0001017199,0.00002045025],"domain_scores_gemma":[0.9998704,0.00002651824,0.00003833017,0.00002189025,0.00003131202,0.00001141345],"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":[0.0001793989,0.0001194649,0.0004468227,0.0001912396,0.00002295417,0.0002034871,0.0000832037,0.003208131,0.9052166,0.03457855,0.001224482,0.05452571],"study_design_scores_gemma":[0.00009842961,0.0004173342,0.00115918,0.00003240445,0.00004626891,0.0008632567,0.00004800385,0.1069486,0.8417013,0.007738446,0.04089266,0.00005407222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5107259,0.01164115,0.4045655,0.0009653898,0.0005506714,0.0001828117,0.0004761791,0.002481056,0.06841143],"genre_scores_gemma":[0.7836655,0.001579006,0.2009628,0.0001251551,0.0001860191,0.00007083669,0.0001867687,0.0001403339,0.01308363],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002826435,"threshold_uncertainty_score":0.009455323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830138778723015,"score_gpt":0.2236482700253974,"score_spread":0.2153468822381672,"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."}}