{"id":"W2128615782","doi":"10.1109/iscas.2005.1464831","title":"Parametric Model Order Reduction Technique For Design Optimization","year":2005,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Orthonormal basis; Model order reduction; Parametric statistics; Singular value decomposition; Basis function; Linear subspace; Computer science; Reduction (mathematics); Mathematical optimization; Algorithm; Transformation (genetics); Applied mathematics; Basis (linear algebra); Mathematics; Mathematical analysis","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":[0.0002136807,0.000140718,0.0001143939,0.000287015,0.00005455104,0.00003032433,0.0001013709,0.0001257678,0.00006438834],"category_scores_gemma":[0.00002667323,0.0001360473,0.00003151482,0.0006121953,0.00001204566,0.0004493884,0.000007208856,0.00008299294,0.00003183746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431641,"about_ca_system_score_gemma":0.0000261122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001362405,"about_ca_topic_score_gemma":2.977329e-7,"domain_scores_codex":[0.999295,0.000009419103,0.0002021269,0.0001575192,0.0001046687,0.0002312418],"domain_scores_gemma":[0.9996241,0.00002897015,0.00002141431,0.0001904305,0.0000898248,0.00004530021],"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":[0.000008415985,0.00001634048,9.164178e-7,0.00001736538,0.000009679742,5.601904e-8,0.00003153146,0.9807045,0.008784335,0.0002207406,0.007254276,0.00295185],"study_design_scores_gemma":[0.0001993763,0.00003258912,8.039922e-7,0.000005549301,0.00001112468,0.000005491012,0.000005266101,0.8628758,0.1360935,0.0001411857,0.0004641261,0.0001652643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004226455,0.00006327131,0.9957252,0.00006369065,0.0001262027,0.0009219641,0.000001694716,0.000766836,0.001908564],"genre_scores_gemma":[0.2414963,0.00006913782,0.757296,0.00002047705,0.00008963091,0.0003881889,0.000008440417,0.00004617434,0.0005857217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2410736,"threshold_uncertainty_score":0.5547847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984517058228826,"score_gpt":0.226113515443585,"score_spread":0.2062683448612968,"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."}}