{"id":"W4409991291","doi":"10.1109/oecc54135.2024.10975690","title":"Optimizing the performance of microwave photonic transversal filters using optical microcombs","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Australian Research Council","keywords":"Transversal (combinatorics); Optical filter; Microwave; Photonics; Optical switch; Optoelectronics; Computer science; Electronic engineering; Materials science; Telecommunications; 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":[0.0001607743,0.0001295164,0.0001532831,0.00006209276,0.00005131235,0.00003648461,0.0003103921,0.00004946721,0.00006678361],"category_scores_gemma":[0.000002358887,0.00009845187,0.00008791655,0.0002277021,0.0000818085,0.0001506141,0.00004156242,0.0002352435,0.00001686342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030331,"about_ca_system_score_gemma":0.00003225743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001078316,"about_ca_topic_score_gemma":0.00000652448,"domain_scores_codex":[0.9992632,0.00001804983,0.0002882646,0.0001207872,0.0001119445,0.0001977809],"domain_scores_gemma":[0.999369,0.0001434163,0.00001608931,0.0004156447,0.00002166814,0.0000341522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006045763,0.000006028999,0.00001021989,0.0002285985,0.00007346633,0.0000015865,0.001667543,0.1676966,0.8275979,0.0003946566,0.00008874467,0.002228548],"study_design_scores_gemma":[0.0000825359,0.00001016514,0.000005534537,0.0001178065,0.00001583142,0.00003257713,0.0002716674,0.634705,0.3605607,0.000004878493,0.004100588,0.00009267871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973845,0.003249773,0.09096654,0.00006387534,0.0003673789,0.0002975854,0.000006051712,0.0003410698,0.007323261],"genre_scores_gemma":[0.9724828,0.0001953635,0.02714279,0.00001523928,0.00001865873,0.00001272608,0.000002259641,0.0000358585,0.00009429595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670372,"threshold_uncertainty_score":0.4014751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812028046830147,"score_gpt":0.2439648311555774,"score_spread":0.2258445506872759,"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."}}