{"id":"W4391557584","doi":"10.1109/mwp58203.2023.10416641","title":"Programmable RAMZI Filter for Integrated Microwave Photonic Processors","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"Generalitat Valenciana","keywords":"Electronic engineering; Computer science; Filter design; Filter (signal processing); Reconfigurability; Waveguide filter; Prototype filter; Infinite impulse response; Root-raised-cosine filter; Optical filter; Band-stop filter; Bandwidth (computing); Voltage-controlled filter; m-derived filter; Resonator; Low-pass filter; Digital filter; Engineering; Telecommunications; Materials science; Electrical engineering; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770037,0.0003114399,0.0001943269,0.0002239632,0.0001646148,0.0003200919,0.0004021127,0.0002954009,0.001617759],"category_scores_gemma":[0.0002133216,0.000138089,0.0002043441,0.00017691,0.0001981732,0.0004066927,0.0001435869,0.0003383895,0.0003703264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935306,"about_ca_system_score_gemma":0.0003026512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000309374,"about_ca_topic_score_gemma":0.001018423,"domain_scores_codex":[0.9998616,0.00001578592,0.000005064352,0.00003225778,0.00006859997,0.00001671567],"domain_scores_gemma":[0.9999089,0.00002689109,0.00002954445,0.00001303545,0.00001758214,0.000003937863],"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":[0.0001266341,0.00004297662,0.0002634603,0.0001136544,0.00002051323,0.00006195954,0.00002845748,0.007464161,0.923473,0.01868839,0.0005541656,0.04916263],"study_design_scores_gemma":[0.00005767655,0.0006902132,0.001358642,0.00002563895,0.00004350607,0.0005033529,0.00002325681,0.1487607,0.8073881,0.003277784,0.03783153,0.00003971187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1828704,0.00222803,0.7912483,0.000333007,0.0001488599,0.0001339465,0.0001183182,0.001157704,0.02176148],"genre_scores_gemma":[0.5354522,0.0006240679,0.4544959,0.0001411657,0.00007266221,0.0001179835,0.0001180161,0.00008533813,0.008892667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001617759,"threshold_uncertainty_score":0.005411923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620578057690026,"score_gpt":0.2297643361230109,"score_spread":0.2135585555461107,"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."}}