{"id":"W3150266788","doi":"10.1109/iccad.2007.4397334","title":"Sparse and passive reduction of massively coupled large multiport interconnects","year":2007,"lang":"en","type":"article","venue":"Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Reduction (mathematics); Massively parallel; Computer science; Waveform; Interconnection; Limiting; Model order reduction; Port (circuit theory); Parallel computing; Algorithm; Electronic engineering; Topology (electrical circuits); Mathematics; Telecommunications; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006457803,0.0005444209,0.0009515675,0.0003606543,0.0001110024,0.00004229221,0.001051293,0.0003485182,0.0003239952],"category_scores_gemma":[0.0001812631,0.0004929533,0.0004020135,0.000344654,0.0006334364,0.0002332257,0.0003209244,0.0007606215,0.000007693195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129445,"about_ca_system_score_gemma":0.000146443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000704641,"about_ca_topic_score_gemma":0.00001191766,"domain_scores_codex":[0.9961205,0.0001198013,0.001493312,0.000857848,0.0008740709,0.0005345378],"domain_scores_gemma":[0.9964898,0.000719269,0.001093296,0.0007392664,0.0006670502,0.0002913617],"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":[0.001056095,0.001498851,0.001375017,0.00005124737,0.0002354804,0.00001804262,0.00006734223,0.001335632,0.9042836,0.08016106,0.0006296702,0.009287925],"study_design_scores_gemma":[0.01618449,0.01127515,0.1159236,0.006019759,0.0007005452,0.0003600554,0.001509756,0.01949124,0.7995115,0.01798416,0.006196809,0.00484292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6477811,0.0001140396,0.153433,0.004395335,0.004284174,0.004762914,0.000403181,0.0008115498,0.1840146],"genre_scores_gemma":[0.9924182,0.00009513285,0.006724514,0.00009108469,0.0003283413,0.00005004118,0.0000743286,0.00004178553,0.0001765831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.344637,"threshold_uncertainty_score":0.9997522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360033195424608,"score_gpt":0.2963030707965989,"score_spread":0.2527027388423528,"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."}}