{"id":"W2166758690","doi":"10.1109/cicc.1994.379713","title":"A moment method for statistical analysis of high speed VLSI interconnects","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Very-large-scale integration; Monte Carlo method; Computer science; Design for manufacturability; Statistical analysis; Network analysis; Moment (physics); Interconnection; Electronic engineering; Integrated circuit; Algorithm; Mathematics; Engineering; Electrical engineering; Embedded system; Statistics; Telecommunications","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":[0.002620612,0.001115322,0.001054709,0.002704705,0.0006101569,0.001333244,0.001578966,0.001018125,0.004040318],"category_scores_gemma":[0.01099975,0.0006178042,0.001503728,0.00258404,0.001256999,0.001845882,0.001096886,0.002175186,0.002404532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436884,"about_ca_system_score_gemma":0.001191469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391033,"about_ca_topic_score_gemma":0.001128251,"domain_scores_codex":[0.997604,0.000999882,0.0001126297,0.0003443087,0.0008313587,0.0001078778],"domain_scores_gemma":[0.993944,0.004235037,0.0004667083,0.0006480716,0.0005952282,0.0001108571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001650337,0.0000881621,0.001164198,0.0004469545,0.0002950825,0.0004311659,0.0002271289,0.2051736,0.0175357,0.4623629,0.01463576,0.2974743],"study_design_scores_gemma":[0.00002249072,0.00008340584,0.0007172077,0.00003624701,0.0000444072,0.0003810738,0.00001883737,0.8172676,0.004168817,0.1555286,0.02165182,0.00007954354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003848051,0.0002611356,0.9985728,0.0000338321,0.00002997152,0.00001033549,0.00005749439,0.0003214229,0.0003281393],"genre_scores_gemma":[0.07932482,0.001690671,0.9112529,0.0002083401,0.000737671,0.0003981901,0.0007541493,0.000614122,0.005019252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004040318,"threshold_uncertainty_score":0.01385927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621125632540784,"score_gpt":0.2618442246080999,"score_spread":0.2456329682826921,"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."}}