{"id":"W2588329452","doi":"10.1109/antem.2000.7851748","title":"A wideband model for high density ball-grid array packages for very high speed digital circuits","year":2000,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wideband; Electronic engineering; Grid; Computer science; Ball grid array; Digital electronics; Substructure; Equivalent circuit; Electronic circuit; Calibration; Electrical engineering; Engineering; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007886256,0.0002083824,0.0002666536,0.00004089039,0.00009403437,0.00008137029,0.0001380783,0.0001057093,0.0002785874],"category_scores_gemma":[0.00003562254,0.0001914847,0.0001127984,0.00006896068,0.00002635003,0.0002560625,0.00001030666,0.00009102605,0.00001969253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004656083,"about_ca_system_score_gemma":0.00002223574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002416321,"about_ca_topic_score_gemma":0.0000568445,"domain_scores_codex":[0.9989543,0.000007006873,0.0002384206,0.0002871566,0.0001285879,0.000384524],"domain_scores_gemma":[0.9993377,0.0002056479,0.00001591636,0.0002857535,0.00005176214,0.0001032236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007624332,0.000569289,0.0007129899,0.001012379,0.0003196738,0.000007419057,0.0009367075,0.1975406,0.5222492,0.001835864,0.08369887,0.1903547],"study_design_scores_gemma":[0.002863043,0.000522709,0.002899039,0.00007902052,0.00008391822,0.000009353532,0.00001790952,0.6443359,0.3233019,0.02330573,0.001772312,0.0008092237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373341,0.00007068462,0.05912886,0.00011761,0.0001797554,0.0005895948,0.0001499293,0.0003388746,0.002090611],"genre_scores_gemma":[0.9941989,0.00002183389,0.002078219,0.00005829877,0.0001690751,0.00003486308,0.0001297595,0.00003874177,0.003270261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4467953,"threshold_uncertainty_score":0.7808521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057006123698907,"score_gpt":0.202350559640246,"score_spread":0.1917804984032569,"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."}}