{"id":"W2321502801","doi":"10.1109/mwscas.2014.6908465","title":"Modeling, analyzing, and abstracting single event transient propagation at gate level","year":2014,"lang":"en","type":"article","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Soft error; Computer science; Transient (computer programming); Propagation delay; Benchmark (surveying); Combinational logic; Set (abstract data type); Microelectronics; Electronic engineering; Logic gate; Propagation of uncertainty; Event (particle physics); Abstraction; Pulse (music); Reliability (semiconductor); Transistor; Electronic circuit; Logic simulation; Algorithm; Engineering; Electrical engineering; 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":[0.0002700319,0.0009686231,0.0004809127,0.0007544743,0.0002551519,0.0006971389,0.001005079,0.000641808,0.00125152],"category_scores_gemma":[0.001082355,0.0003548028,0.0008269473,0.0004915349,0.0003190545,0.001013434,0.0003302081,0.0006801572,0.0003195062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544379,"about_ca_system_score_gemma":0.0009992346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003267075,"about_ca_topic_score_gemma":0.003700435,"domain_scores_codex":[0.9997888,0.00003529229,0.00001844092,0.00003813242,0.0000914956,0.00002780064],"domain_scores_gemma":[0.99933,0.000279621,0.0001386638,0.0001537507,0.00008410819,0.00001379799],"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":[0.00004045498,0.00005585758,0.002251821,0.0001895251,0.00005946775,0.0001889047,0.00006867947,0.9142488,0.04355245,0.008696011,0.00040781,0.03024031],"study_design_scores_gemma":[0.000005535731,0.00004914108,0.0003845338,0.00001020737,0.0000329665,0.0000820014,0.000009639059,0.9716351,0.02324558,0.003381813,0.001154165,0.000009217453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04394679,0.0002064804,0.9514195,0.00004407471,0.00001937089,0.0000660192,0.0002809472,0.002502339,0.001514518],"genre_scores_gemma":[0.7096655,0.0008277194,0.2850072,0.00008230308,0.00003215066,0.0002198048,0.000978387,0.0004821271,0.002704799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003267075,"threshold_uncertainty_score":0.006496131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376968886829901,"score_gpt":0.2160701224229405,"score_spread":0.2023004335546414,"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."}}