{"id":"W4385624991","doi":"10.1109/newcas57931.2023.10198105","title":"PSIJ Transfer Function Response Prediction via NARNET and KBNNs","year":2023,"lang":"en","type":"article","venue":"","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Jitter; Artificial neural network; Autoregressive model; Computer science; Transfer function; Nonlinear system; Range (aeronautics); Artificial intelligence; Engineering; Mathematics; 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":[0.0006574434,0.0006993102,0.0004837183,0.0004545836,0.0003495251,0.0007824517,0.001077757,0.000856189,0.003113424],"category_scores_gemma":[0.001819893,0.0003986695,0.00045158,0.0004682035,0.0002409659,0.001133825,0.0004413875,0.001344703,0.001230688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005453244,"about_ca_system_score_gemma":0.0008153162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289565,"about_ca_topic_score_gemma":0.01237333,"domain_scores_codex":[0.9998017,0.00003533835,0.00001703108,0.00005546058,0.00005927521,0.00003123188],"domain_scores_gemma":[0.9995393,0.000170236,0.00004056177,0.00003828883,0.0001983952,0.00001335573],"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":[0.0001815527,0.0001309658,0.001209491,0.0001447017,0.00006824627,0.0001193207,0.00006318434,0.7284899,0.00681612,0.003288014,0.002377982,0.2571105],"study_design_scores_gemma":[0.000001578107,0.000008454257,0.0001015082,0.000003705118,0.000003546843,0.000005981979,0.000003845541,0.9985012,0.0008294312,0.0003459449,0.0001918776,0.00000296842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03428085,0.0005722034,0.9563273,0.00029062,0.0001680807,0.00007299844,0.0001882476,0.003365214,0.004734596],"genre_scores_gemma":[0.8119363,0.0004871143,0.1794231,0.0002197209,0.00007123287,0.0001703852,0.0005171324,0.0001601658,0.007014817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01289565,"threshold_uncertainty_score":0.02564114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004813214325626824,"score_gpt":0.1837431273543027,"score_spread":0.1789299130286759,"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."}}