{"id":"W2131575719","doi":"10.1109/tadvp.2009.2032157","title":"Simplified Delay Extraction-Based Passive Transmission Line Macromodeling Algorithm","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Advanced Packaging","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spice; Transmission line; Signal integrity; Computer science; Electronic engineering; Lossy compression; Algorithm; Interconnection; Electric power transmission; Engineering; Electrical engineering; 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":[0.0003009831,0.0007852677,0.000497359,0.0003927905,0.0002791548,0.0005201304,0.001119034,0.0006104265,0.005355048],"category_scores_gemma":[0.0008465705,0.0003820962,0.0004402097,0.0004044728,0.0002149494,0.0008943399,0.0004200581,0.0006396817,0.001813154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769176,"about_ca_system_score_gemma":0.000632651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727182,"about_ca_topic_score_gemma":0.002068576,"domain_scores_codex":[0.9998651,0.00003078287,0.000008039247,0.00002792457,0.00005620905,0.00001198575],"domain_scores_gemma":[0.9997675,0.00009095843,0.00003089765,0.00003578411,0.00006694648,0.000007943275],"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":[0.00005842108,0.00001973974,0.0001722832,0.00008734826,0.00002108499,0.00005670023,0.00006272343,0.905573,0.01531172,0.01457218,0.001062872,0.06300199],"study_design_scores_gemma":[0.00001176786,0.00001633693,0.00003014954,0.000003928496,0.000007486858,0.00002702379,0.000003353085,0.9925078,0.002619326,0.001902873,0.002865392,0.000004658295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001605077,0.00002787737,0.9970048,0.00001683601,0.00000711876,0.00001575773,0.0000354,0.0004242034,0.0008629253],"genre_scores_gemma":[0.1945808,0.000263174,0.7936675,0.000073944,0.00002940731,0.0003151208,0.0005092671,0.0003949002,0.0101659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005355048,"threshold_uncertainty_score":0.01791447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008249993342354425,"score_gpt":0.2490565520035204,"score_spread":0.240806558661166,"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."}}