{"id":"W2137283082","doi":"10.1109/mwsym.2003.1210908","title":"EM-based design tools for microwave circuits using fuzzy logic techniques","year":2003,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy logic; Microwave; Filter (signal processing); Electronic engineering; Computer science; Microstrip; Electronic circuit; Fuzzy electronics; Logic gate; Logic optimization; Logic synthesis; Logic family; Fuzzy control system; Engineering; Electrical engineering; Artificial intelligence; Neuro-fuzzy; Telecommunications","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":[0.0006107009,0.0007730798,0.0004533955,0.0008625371,0.0003644782,0.00088912,0.0009109474,0.000645265,0.004783683],"category_scores_gemma":[0.001300065,0.0003849379,0.0007754494,0.0003418312,0.0006499645,0.0009391248,0.0004507741,0.001370978,0.001288594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005472077,"about_ca_system_score_gemma":0.0003737787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006734995,"about_ca_topic_score_gemma":0.001193145,"domain_scores_codex":[0.9997085,0.00005780407,0.00002298068,0.00003404832,0.0001624374,0.00001417402],"domain_scores_gemma":[0.9996865,0.0001905161,0.00003171122,0.00003246803,0.00005362639,0.00000527783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000542502,0.00008142475,0.0001994499,0.0008051302,0.000105626,0.0003082313,0.0003601558,0.1346468,0.0499265,0.5121721,0.003326004,0.2980143],"study_design_scores_gemma":[0.0000928049,0.0001624518,0.0001883368,0.0002645029,0.00008368726,0.0005632336,0.00008512538,0.6463264,0.03467059,0.224928,0.09257744,0.00005741301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006907629,0.0001551535,0.9962358,0.0000514676,0.00002405154,0.0000245087,0.0000185265,0.0001282238,0.002671576],"genre_scores_gemma":[0.04315406,0.0006183171,0.9526607,0.0001285292,0.00004982127,0.0001908865,0.000062232,0.00004233291,0.00309306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004783683,"threshold_uncertainty_score":0.01600301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978350494282993,"score_gpt":0.2520779082423216,"score_spread":0.1922944032994916,"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."}}