{"id":"W1480660824","doi":"","title":"Efficient design optimization of microwave circuits using parallel computational methods","year":2012,"lang":"en","type":"article","venue":"European Microwave Integrated Circuit Conference","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Speedup; Computer science; Mathematical optimization; Computation; Electronic circuit; Space mapping; Filter (signal processing); Point (geometry); Microwave; Optimization problem; Algorithm; Parallel computing; Mathematics; Engineering; 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":[0.0005311372,0.0008514517,0.001009937,0.0004458466,0.0004658738,0.0005741228,0.0009788545,0.0006588318,0.00214708],"category_scores_gemma":[0.0008392512,0.0004604814,0.0008287201,0.0005916664,0.0004671737,0.0006214032,0.0006915811,0.0008947572,0.0005034205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005824174,"about_ca_system_score_gemma":0.0008622516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731914,"about_ca_topic_score_gemma":0.00278299,"domain_scores_codex":[0.9997455,0.0000761201,0.000008391498,0.00003331361,0.0001111245,0.00002558988],"domain_scores_gemma":[0.9997159,0.0001385554,0.00002774051,0.00005312777,0.00005296634,0.00001176704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001863504,0.00001772902,0.0001174043,0.00004914841,0.00001993572,0.00003037204,0.00002129043,0.960476,0.003373007,0.01020426,0.0005241412,0.02514809],"study_design_scores_gemma":[0.000004653192,0.00000749327,0.00001500276,0.000001443843,0.000001995498,0.000005268022,0.000001772372,0.9973712,0.0004878825,0.001640109,0.000461507,0.000001703875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005124634,0.00009453353,0.9918006,0.00005763012,0.00001447554,0.00002663917,0.00001753833,0.0002563727,0.002607522],"genre_scores_gemma":[0.2549031,0.0002634714,0.7394537,0.00007863504,0.00004433361,0.000512814,0.0001079059,0.0002701791,0.004365796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00214708,"threshold_uncertainty_score":0.007182717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158739669481186,"score_gpt":0.2677910548631532,"score_spread":0.2062036581683413,"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."}}