{"id":"W1953534009","doi":"10.1109/mwsym.1999.779860","title":"Modeling of microwave circuits exploiting space derivative mapping","year":2003,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space mapping; Microwave; Computer science; Sensitivity (control systems); Uniqueness; Electronic circuit; Space (punctuation); Parameter space; Derivative (finance); Electronic engineering; Algorithm; Mathematics; Telecommunications; Electrical engineering; Engineering; Statistics","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":[0.0002296902,0.0003428282,0.0002462655,0.0002922754,0.0001637513,0.0005028179,0.0005461094,0.0004749864,0.001071489],"category_scores_gemma":[0.0004872876,0.0001792061,0.0003998918,0.0002778343,0.0004677904,0.0008688564,0.0003214972,0.0004373705,0.0003180268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000350831,"about_ca_system_score_gemma":0.0003003766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005570942,"about_ca_topic_score_gemma":0.0005369582,"domain_scores_codex":[0.9998866,0.00002843373,0.000004121541,0.00001551089,0.00005565503,0.000009553753],"domain_scores_gemma":[0.9999001,0.00004382552,0.0000136966,0.00002361273,0.00001439305,0.000004282702],"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":[0.00002577669,0.00002125907,0.0003478464,0.00004459572,0.00001710815,0.00009028547,0.00006260133,0.7641471,0.03976417,0.1623571,0.0004659558,0.03265627],"study_design_scores_gemma":[0.000001290898,0.00001111884,0.000049115,0.000001347645,0.000001925899,0.00002155498,0.000002425973,0.9848653,0.002998895,0.01088763,0.001156929,0.000002451872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01414804,0.00009888198,0.9823421,0.00006715422,0.00001131259,0.00001151188,0.00002069755,0.0002234728,0.00307687],"genre_scores_gemma":[0.8007485,0.0005933059,0.1910975,0.00007342819,0.00004336885,0.000103073,0.00009237429,0.0001248399,0.007123597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001071489,"threshold_uncertainty_score":0.003584445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367462753895585,"score_gpt":0.2014435037470605,"score_spread":0.1777688762081047,"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."}}