{"id":"W2136257605","doi":"10.1109/mwsym.2000.862325","title":"Space mapping optimization of microwave circuits exploiting surrogate models","year":2002,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space mapping; Surrogate model; Microwave; Exploit; Computer science; Microwave engineering; Space (punctuation); Electronic circuit; Electronic engineering; Space technology; Microwave imaging; Algorithm; Engineering; Telecommunications; Electrical engineering; Aerospace engineering; Machine learning","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":[0.0005945584,0.0007016811,0.0005833544,0.0002858974,0.0002005778,0.0006528819,0.0004434999,0.0007462128,0.002042927],"category_scores_gemma":[0.001352248,0.0002913745,0.0004194379,0.0002872849,0.0004447495,0.0006506155,0.0007677693,0.0008390765,0.0004665142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257997,"about_ca_system_score_gemma":0.0004266696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003836963,"about_ca_topic_score_gemma":0.0005332098,"domain_scores_codex":[0.9997606,0.0001021364,0.000007237469,0.00002025185,0.00009411614,0.00001559725],"domain_scores_gemma":[0.9996443,0.0002228501,0.00003438306,0.00003861742,0.0000448594,0.00001504948],"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":[0.00002733161,0.00001644453,0.00007315518,0.00003071136,0.00001311334,0.00002135037,0.00002117242,0.943166,0.00454924,0.02541572,0.0006516651,0.02601407],"study_design_scores_gemma":[0.000002866756,0.00001195404,0.00001084061,0.000001906727,0.000001279755,0.000007366945,0.000001755168,0.9937783,0.0006990426,0.004807514,0.0006755245,0.000001685052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003113896,0.00004598537,0.9951321,0.00005167312,0.00001032308,0.00000689314,0.000009543363,0.0001093184,0.00152027],"genre_scores_gemma":[0.3611705,0.0003901012,0.6276234,0.0001033823,0.00004974292,0.000242429,0.0001486259,0.0002582852,0.01001367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002042927,"threshold_uncertainty_score":0.006834269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068512774013087,"score_gpt":0.1852585648664828,"score_spread":0.154573437126352,"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."}}