{"id":"W3216634999","doi":"10.1109/mwsym.1999.779471","title":"A hybrid aggressive space mapping algorithm for EM optimization","year":2003,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space mapping; Optimization algorithm; Computer science; Algorithm; Optimization problem; Space (punctuation); Constrained optimization problem; Mathematical optimization; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000780601,0.0001193172,0.0001071021,0.00007011483,0.00003705108,0.00003345458,0.00004769886,0.00003431672,0.00006783525],"category_scores_gemma":[0.00005363892,0.0001209912,0.00004658245,0.00007429424,0.000005325404,0.00006071863,0.000004785954,0.00005208782,0.0000130508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003437546,"about_ca_system_score_gemma":0.000007132199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.907698e-7,"about_ca_topic_score_gemma":2.593585e-7,"domain_scores_codex":[0.9994997,0.000005491457,0.000121244,0.0001156027,0.00005100842,0.0002069015],"domain_scores_gemma":[0.9997456,0.00003247137,0.00001966426,0.0001148072,0.00003697765,0.00005044341],"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":[3.071212e-7,0.000004991236,0.000001527892,0.00003849648,0.00003061147,0.000004136791,0.00009474909,0.9782822,0.0007425844,0.0007182318,0.00771251,0.01236972],"study_design_scores_gemma":[0.0002222956,0.00000910426,0.000002385591,0.00003031576,0.000005777537,0.00002441437,0.00007490537,0.9592681,0.02351482,0.0001022944,0.0165755,0.0001700807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001314261,0.0004574831,0.9926331,0.00001000091,0.0003368608,0.0001527985,0.000009601349,0.0004097705,0.004676101],"genre_scores_gemma":[0.1088821,0.00008309087,0.8890588,0.00002820759,0.0001040069,0.0000408973,0.00002378909,0.00006216669,0.001717023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1075678,"threshold_uncertainty_score":0.4933878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268052288816873,"score_gpt":0.1946969543334555,"score_spread":0.1864289020446386,"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."}}