{"id":"W2124664738","doi":"10.1145/2669364","title":"Mechanistic Modeling of Architectural Vulnerability Factor","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Computer Systems","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Computer science; Microarchitecture; Workload; Reliability (semiconductor); Vulnerability (computing); Superscalar; Reliability engineering; Process (computing); Parametric statistics; Computer architecture; Power (physics); Embedded system; Parallel computing; Operating system","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":[0.0004997408,0.0005741403,0.0004414641,0.0007371085,0.0004168617,0.000644199,0.001343503,0.001294878,0.002004504],"category_scores_gemma":[0.002513457,0.0005321651,0.0006156453,0.0003256752,0.0008131725,0.001296048,0.0006597026,0.0009843329,0.0003516472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008125284,"about_ca_system_score_gemma":0.0009080311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531843,"about_ca_topic_score_gemma":0.001756195,"domain_scores_codex":[0.9997302,0.00004980071,0.000007138287,0.00003322578,0.0001166544,0.00006297472],"domain_scores_gemma":[0.999256,0.0003502971,0.0001384577,0.0001045511,0.0001105426,0.00004021392],"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":[0.00001100252,0.00003010955,0.0005622124,0.00002666063,0.000008171439,0.00008276239,0.00006698832,0.9604673,0.007131102,0.02885195,0.0002258527,0.002535863],"study_design_scores_gemma":[0.000002494022,0.00001399485,0.0001976614,0.000003221201,0.000003157448,0.00002130742,0.000007619598,0.993274,0.0005328766,0.005441378,0.0004974282,0.000004836171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4072066,0.001098451,0.5424873,0.001240842,0.0001036123,0.000220525,0.0003793224,0.000700265,0.04656309],"genre_scores_gemma":[0.9795492,0.0005736232,0.01455489,0.0001172193,0.00002963557,0.0001434903,0.00007228847,0.00008780436,0.00487186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002531843,"threshold_uncertainty_score":0.006705761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257481618775224,"score_gpt":0.2403262052901859,"score_spread":0.2077513891024337,"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."}}