{"id":"W2112600136","doi":"10.1109/issse.2007.4294466","title":"Efficient Passive Macromodelling of High-Speed Interconnects","year":2007,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Passivity; Compensation (psychology); Computer science; Electronic circuit; Electronic engineering; Extension (predicate logic); Port (circuit theory); Equivalent circuit; Computer engineering; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003728301,0.0007950296,0.0005150862,0.0003756258,0.0003440549,0.0005605358,0.000945747,0.0006466629,0.002072978],"category_scores_gemma":[0.001257741,0.0004151861,0.0005299311,0.0003093011,0.0002906964,0.001101096,0.0003662554,0.0006605007,0.000692286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914036,"about_ca_system_score_gemma":0.0006118238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758035,"about_ca_topic_score_gemma":0.002729497,"domain_scores_codex":[0.9997814,0.00006727318,0.0000109696,0.00003621859,0.00008577024,0.00001833095],"domain_scores_gemma":[0.9996106,0.000156677,0.00005141414,0.0001052073,0.00006624775,0.000009871447],"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":[0.0000341269,0.00001617973,0.0002937648,0.00007982025,0.00001460728,0.00006627361,0.00008537297,0.9321262,0.02123321,0.006591977,0.000365899,0.03909266],"study_design_scores_gemma":[0.000004926233,0.00001622441,0.00006988337,0.000003897001,0.000004644769,0.00002675279,0.000007787675,0.9905822,0.005371301,0.001877898,0.002031342,0.000003014127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01128772,0.00003608728,0.9867508,0.0000186283,0.000009212497,0.00001808334,0.00003524443,0.0008857715,0.0009584742],"genre_scores_gemma":[0.5708159,0.0002140313,0.422695,0.00003166367,0.00002808093,0.0002160042,0.0003659667,0.0003654658,0.00526781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002072978,"threshold_uncertainty_score":0.006934822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005871730717246381,"score_gpt":0.2140141294086824,"score_spread":0.2081423986914361,"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."}}