{"id":"W2130357753","doi":"10.1109/tvlsi.2002.800520","title":"A practical approach to model long MIS interconnects in VLSI circuits","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Very-large-scale integration; Interconnection; Capacitance; Electronic engineering; Equivalent circuit; Transmission line; Microstrip; Frequency domain; Computer science; Engineering; Electrical engineering; Mathematics; Voltage; Physics; Mathematical analysis; 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":[0.0001466108,0.0005984363,0.0002379173,0.0003017946,0.0003091879,0.0003894026,0.0007300273,0.0009269181,0.001505391],"category_scores_gemma":[0.0006352842,0.0002123631,0.0002817967,0.0003855664,0.0004279336,0.000856003,0.0003361019,0.000540337,0.0005852369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651535,"about_ca_system_score_gemma":0.0002927771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008618823,"about_ca_topic_score_gemma":0.001066917,"domain_scores_codex":[0.9998699,0.00004261731,0.000005439742,0.00001885346,0.00005373638,0.000009277736],"domain_scores_gemma":[0.9998279,0.00007356823,0.00002220533,0.00003180312,0.0000368221,0.000007789039],"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":[0.00003249394,0.00003390048,0.0006706297,0.0001508175,0.00002242983,0.0002903457,0.0001530814,0.7916368,0.04319819,0.1211092,0.002120231,0.04058191],"study_design_scores_gemma":[0.000007698659,0.00009381803,0.0001424475,0.00001065394,0.000008956958,0.0001998737,0.00003662297,0.9485174,0.006770413,0.02416977,0.02003446,0.000007886528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01188814,0.0003454194,0.9819812,0.0001598357,0.00005780646,0.00003051356,0.00005023788,0.0004248846,0.00506195],"genre_scores_gemma":[0.4613563,0.001275669,0.5276927,0.0002048573,0.00008813924,0.0001973884,0.0001776986,0.0001151652,0.008892063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001505391,"threshold_uncertainty_score":0.005036056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074048471506225,"score_gpt":0.2453341761091395,"score_spread":0.2145936913940773,"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."}}