{"id":"W1525296919","doi":"10.1109/epeps.2014.7103598","title":"Advanced macromodeling and simulation for power/signal integrity","year":2014,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Power integrity; Signal integrity; Computer science; SIGNAL (programming language); Power (physics); Large-signal model; Electronic engineering; Engineering; Telecommunications; Programming language; Physics","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":[0.000834306,0.0008428969,0.0007044942,0.0005253815,0.0005141716,0.0009727547,0.001144212,0.001226994,0.01855502],"category_scores_gemma":[0.002344029,0.0007379066,0.0008898918,0.0005848988,0.0003256981,0.001553708,0.0006331079,0.001811349,0.005067114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005530867,"about_ca_system_score_gemma":0.001215626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183245,"about_ca_topic_score_gemma":0.004890559,"domain_scores_codex":[0.9996631,0.0001085611,0.00001832408,0.00002641676,0.0001524705,0.00003110856],"domain_scores_gemma":[0.9992384,0.0002634395,0.00003663023,0.0001979448,0.0002333146,0.00003027072],"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":[0.0002072529,0.00007382285,0.000610504,0.000217344,0.00009013415,0.00008691509,0.0001299638,0.8396542,0.0167918,0.03884839,0.01763243,0.08565715],"study_design_scores_gemma":[0.00001945799,0.00002784532,0.00008067461,0.00001681519,0.00001213197,0.00002141592,0.000008033867,0.9686801,0.004116709,0.006450788,0.02055551,0.00001049668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004757904,0.0002754843,0.9802941,0.0003363014,0.0002578032,0.00005124324,0.0003350838,0.003455611,0.01023652],"genre_scores_gemma":[0.3119344,0.001256518,0.6414449,0.0002504329,0.0002338241,0.0004623148,0.001986651,0.002987373,0.03944363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01855502,"threshold_uncertainty_score":0.06207269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009531052226117187,"score_gpt":0.2439582856616001,"score_spread":0.2344272334354829,"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."}}