{"id":"W2591577009","doi":"10.1109/antem.2004.7860681","title":"Time-domain passive macromodels of S-parameter based EM subnetworks","year":2004,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Passivity; Computer science; Compensation (psychology); Domain (mathematical analysis); Electronic engineering; Control theory (sociology); Algorithm; Mathematics; Engineering; Artificial intelligence; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007866488,0.0001043645,0.0001701587,0.00004976579,0.00001398408,0.00000797455,0.00007654758,0.00007304121,0.0008333923],"category_scores_gemma":[0.0000237705,0.00009348457,0.00006596934,0.0002042517,0.00002867239,0.00003320692,0.000007352813,0.00009186638,0.00004357902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003271765,"about_ca_system_score_gemma":0.0000112012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003868897,"about_ca_topic_score_gemma":0.000001511435,"domain_scores_codex":[0.9993747,0.00003215821,0.0001928939,0.0001017993,0.0001083652,0.0001900122],"domain_scores_gemma":[0.9995394,0.0001902492,0.00002036533,0.0001567618,0.00002645,0.00006671342],"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":[0.00001374123,0.00003384415,0.0000174611,0.00001538541,0.00002268483,0.000003104608,0.00008906954,0.9617832,0.02097509,0.000656247,0.0002848382,0.0161053],"study_design_scores_gemma":[0.0009033188,0.0001718083,0.0003900316,0.00002064661,0.00001270287,0.000002148377,0.00001391636,0.9294815,0.05876152,0.009768745,0.0002720949,0.0002015471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3536382,0.00005294228,0.6407443,0.00006829726,0.00005645049,0.00009339954,0.000001463043,0.0001636318,0.00518131],"genre_scores_gemma":[0.7969827,0.000002218068,0.2026872,0.000139244,0.0000218333,0.000006382543,0.000003435616,0.00001924224,0.000137719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4433446,"threshold_uncertainty_score":0.9125061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008043726619947926,"score_gpt":0.2343583014270625,"score_spread":0.2263145748071146,"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."}}