{"id":"W1924993691","doi":"10.1109/iolts.2015.7229818","title":"Efficient multilevel formal analysis and estimation of design vulnerability to Single Event Transients","year":2015,"lang":"en","type":"article","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Computer science; Soft error; Abstraction; Probabilistic logic; Event (particle physics); Set (abstract data type); Algorithm; Process (computing); Abstraction layer; Computer engineering; Reliability engineering; Electronic engineering; Artificial intelligence; Software; 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":[0.001874386,0.0005952388,0.0006486439,0.001249387,0.0004147024,0.000904489,0.0009940009,0.0004976682,0.001429079],"category_scores_gemma":[0.01193756,0.0006172089,0.001459643,0.0005089297,0.001010049,0.001409421,0.00098156,0.001054031,0.0002455553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026871,"about_ca_system_score_gemma":0.002114714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003412852,"about_ca_topic_score_gemma":0.005559254,"domain_scores_codex":[0.9984151,0.0004843702,0.00007932707,0.0001783262,0.0007022278,0.0001405391],"domain_scores_gemma":[0.9890791,0.008055085,0.0009759006,0.001192017,0.000612731,0.00008520231],"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":[0.00003350112,0.00002728259,0.001949946,0.0000580718,0.00004082613,0.00006187585,0.00005461436,0.9560682,0.005098677,0.01372949,0.0002135885,0.02266397],"study_design_scores_gemma":[0.00000199284,0.00001269262,0.0001289692,0.000003017896,0.000005226002,0.00000861807,0.000004240242,0.9938102,0.00129657,0.004638739,0.00008690712,0.000002737254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03634051,0.0000514338,0.96216,0.00005100863,0.000005922442,0.00004907675,0.00012814,0.0008096146,0.0004043021],"genre_scores_gemma":[0.7086003,0.0001510445,0.2894178,0.00005254332,0.0000223062,0.0002681803,0.0004955385,0.0001511992,0.0008409653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003412852,"threshold_uncertainty_score":0.009912848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974207589367665,"score_gpt":0.2569804307877708,"score_spread":0.2372383548940941,"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."}}