{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001685146,0.0001508291,0.0002268291,0.0001221074,0.00003984096,0.00002712718,0.0002521211,0.00007287911,0.00000460781],"category_scores_gemma":[0.00001357604,0.0001472661,0.00007079451,0.0001587694,0.00001297368,0.00007863665,0.000003045518,0.0002293929,0.00001670919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969687,"about_ca_system_score_gemma":0.0000330184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000678288,"about_ca_topic_score_gemma":0.00001305969,"domain_scores_codex":[0.9990255,0.00008740449,0.0002970589,0.0001640532,0.0002235367,0.0002024596],"domain_scores_gemma":[0.9991395,0.0001526755,0.00002944728,0.0005086768,0.00007181698,0.0000978917],"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":[0.00000631522,0.00002116384,0.000001829616,0.00008584844,0.00004941826,5.64367e-7,0.0002965906,0.9887078,0.0001150743,0.0001030016,0.00002055923,0.01059188],"study_design_scores_gemma":[0.0002540723,0.0001330556,0.00000981358,0.00003076811,0.00001239697,0.00001835911,0.00001528244,0.9984982,0.0005345845,0.0002741196,0.00008537059,0.0001339938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436121,0.0001018351,0.8529623,0.00001343757,0.002705661,0.000222799,0.00001939903,0.0002944573,0.00006804145],"genre_scores_gemma":[0.9934558,0.000001709795,0.00630529,0.000006492423,0.0001593492,0.00002871194,0.000002944415,0.00002850277,0.00001116984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8498437,"threshold_uncertainty_score":0.6005337,"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."}}