{"id":"W2138034071","doi":"10.1109/mwsym.2006.249643","title":"Antenna Design through Space Mapping Optimization","year":2006,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Solver; Space mapping; Antenna (radio); Computer science; Space (punctuation); Method of moments (probability theory); Algorithm; Topology (electrical circuits); Mathematical optimization; Electronic engineering; Mathematics; Telecommunications; Engineering","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":[0.0002320492,0.0004821373,0.0004288782,0.000296366,0.0001864923,0.0006065785,0.0003543833,0.0003837481,0.002168824],"category_scores_gemma":[0.0006261049,0.0001657215,0.000367599,0.0002784182,0.0003715591,0.0004758777,0.0006736016,0.0003228998,0.0008897137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002892703,"about_ca_system_score_gemma":0.000241413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648661,"about_ca_topic_score_gemma":0.000317503,"domain_scores_codex":[0.9997718,0.00006684961,0.000007895124,0.00002717597,0.00009979025,0.00002655748],"domain_scores_gemma":[0.9998077,0.00004823184,0.00002631625,0.00006201916,0.00004444343,0.00001134593],"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":[0.0001069496,0.00004824527,0.001068897,0.0001197371,0.00004004253,0.0001000774,0.0001627778,0.5561122,0.1209011,0.04744992,0.003106559,0.2707835],"study_design_scores_gemma":[0.00002291163,0.0001870222,0.0004214976,0.000008455221,0.00001621273,0.0001638849,0.00004446515,0.9280177,0.03522544,0.01707586,0.01879838,0.0000182214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02457547,0.00009383202,0.9649507,0.00008106201,0.00002377682,0.00002233531,0.00002110573,0.0005471005,0.009684673],"genre_scores_gemma":[0.5300493,0.000178257,0.4612756,0.00009818235,0.00003450754,0.00009970358,0.00007634616,0.0002649056,0.007923175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002168824,"threshold_uncertainty_score":0.007255495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447600140063094,"score_gpt":0.185922587541305,"score_spread":0.1714465861406741,"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."}}