{"id":"W2166071255","doi":"10.1109/mwsym.2005.1516874","title":"Implementable space mapping approach to enhancement of microwave device models","year":2005,"lang":"en","type":"article","venue":"IEEE MTT-S International Microwave Symposium Digest, 2005.","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Schematic; Space mapping; Microwave; Microstrip; Computer science; Software; Set (abstract data type); Space (punctuation); Solid modeling; Electronic engineering; Implementation; Engineering; Telecommunications; Software engineering; Algorithm; Programming language; Operating system; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003707424,0.0005416403,0.0004893231,0.0005044252,0.00007509193,0.0001107398,0.0007424814,0.0001582086,0.00008975351],"category_scores_gemma":[0.00001345688,0.0006117051,0.0002113393,0.0002755645,0.00005014169,0.0004195384,0.0001379506,0.0002961244,0.0001948024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006666615,"about_ca_system_score_gemma":0.00005714533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005498033,"about_ca_topic_score_gemma":0.00006470923,"domain_scores_codex":[0.9971228,0.00002910001,0.0009239339,0.0005870053,0.0004868982,0.0008502318],"domain_scores_gemma":[0.9987962,0.00007526833,0.0001390996,0.0005151083,0.0002096089,0.0002647247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001539903,0.0001317601,0.00003193214,0.00009874375,0.0002263821,0.000002902892,0.0008944375,0.263994,0.7163329,0.001289565,0.01595599,0.001026042],"study_design_scores_gemma":[0.0005743544,0.00002506458,0.00002730009,0.0001644558,0.00003255465,0.00006124889,0.0001593556,0.08507349,0.7998849,0.0001106494,0.1132671,0.0006194953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1694239,0.001085353,0.6127365,0.001118176,0.002150773,0.000812106,0.0002277156,0.0004227021,0.2120228],"genre_scores_gemma":[0.9536636,0.0004335735,0.04105421,0.0002372043,0.0007287259,0.00008712494,0.0001075302,0.0001310425,0.003556925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7842398,"threshold_uncertainty_score":0.9996334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880327898700287,"score_gpt":0.234145037346189,"score_spread":0.2153417583591861,"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."}}