{"id":"W3110812584","doi":"10.1109/bec49624.2020.9276994","title":"Automated SoC Hardening with Model Transformation","year":2020,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Overhead (engineering); Reliability engineering; Fault tolerance; Process (computing); Embedded system; Hardening (computing); Distributed computing; 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":[0.0004668,0.001029259,0.0005645416,0.0006391902,0.0004166202,0.0008324828,0.0008570187,0.0006877433,0.006059831],"category_scores_gemma":[0.001640749,0.0005195665,0.001504041,0.0003651624,0.0005798524,0.0009740925,0.001292835,0.001423816,0.001043044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006137798,"about_ca_system_score_gemma":0.001146786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514102,"about_ca_topic_score_gemma":0.003582282,"domain_scores_codex":[0.9992975,0.0001679992,0.00004190403,0.0001210278,0.0002872436,0.00008432134],"domain_scores_gemma":[0.9992183,0.0002669358,0.00006230601,0.0003274873,0.0001112587,0.00001363104],"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":[0.0001068199,0.0001376952,0.0007436622,0.0002476071,0.00005595335,0.0002465926,0.0002071126,0.7647598,0.06672541,0.02229885,0.002114906,0.1423557],"study_design_scores_gemma":[0.00002340164,0.00004698425,0.0001129276,0.00001012036,0.0000154093,0.0000605278,0.00001996048,0.958616,0.0257254,0.009320275,0.006038073,0.00001089796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02027932,0.00004905526,0.9684852,0.00006277997,0.00002942893,0.0001164028,0.0001989982,0.007684411,0.003094393],"genre_scores_gemma":[0.4497086,0.0001904401,0.542002,0.00008556635,0.00001896378,0.0003448742,0.0009337186,0.00138996,0.005325933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006059831,"threshold_uncertainty_score":0.02027214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244816239419125,"score_gpt":0.2501460041374357,"score_spread":0.2176978417432444,"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."}}