{"id":"W1986142852","doi":"10.1145/2591513.2591530","title":"Generation of reduced analog circuit models using transient simulation traces","year":2014,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Model order reduction; Reduction (mathematics); Computer science; Linearization; Transient (computer programming); Nonlinear system; Analogue electronics; Electronic circuit; Representation (politics); Electronic engineering; Amplifier; Projection (relational algebra); Control theory (sociology); Linear circuit; Equivalent circuit; Algorithm; Voltage; Mathematics; CMOS; Engineering; Electrical engineering; Physics","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":[0.0002704183,0.0007985926,0.0005570422,0.0006816686,0.0002338723,0.0005301507,0.0009496473,0.0006565821,0.004075029],"category_scores_gemma":[0.001542678,0.0004761864,0.000766693,0.0003744847,0.0003242439,0.0007307916,0.0003823209,0.0009394134,0.0008681924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006389265,"about_ca_system_score_gemma":0.000961364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288212,"about_ca_topic_score_gemma":0.002643181,"domain_scores_codex":[0.9997969,0.00003704611,0.00001183638,0.00002619755,0.0001073841,0.00002060543],"domain_scores_gemma":[0.9993504,0.0002664715,0.00004433799,0.0001847601,0.0001330728,0.00002104977],"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":[0.00003479478,0.00003699585,0.0003203635,0.00007914631,0.00003103567,0.00007558224,0.00006203479,0.9702373,0.01007655,0.005215039,0.0005528001,0.01327851],"study_design_scores_gemma":[0.000003585957,0.000009760963,0.00003365087,0.000002161148,0.000002726913,0.000006538168,0.000003863554,0.9960268,0.002370439,0.001125814,0.000412157,0.000002573257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08723924,0.00006771272,0.9015901,0.0001228094,0.00004146928,0.0001437377,0.0008124604,0.00468436,0.005298195],"genre_scores_gemma":[0.7962543,0.0001806181,0.1961525,0.00004580044,0.00001583229,0.0005175751,0.002328341,0.000697047,0.003807958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004075029,"threshold_uncertainty_score":0.0136323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150158179374135,"score_gpt":0.3057818409026852,"score_spread":0.1556236615285503,"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."}}