{"id":"W4230924300","doi":"10.1145/2189750.2150992","title":"Comprehensive kernel instrumentation via dynamic binary translation","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Binary translation; Computer science; sysfs; Configfs; Kernel (algebra); Instrumentation (computer programming); Operating system; Interrupt; Overhead (engineering); Linux kernel; Embedded system; Software","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001265806,0.0007364819,0.0006535411,0.001151263,0.0006034824,0.001485041,0.001421961,0.0006233117,0.003237563],"category_scores_gemma":[0.007139034,0.0006790361,0.0005530289,0.0005849261,0.001199822,0.002598401,0.003038316,0.0013591,0.001392576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335441,"about_ca_system_score_gemma":0.001335527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007265083,"about_ca_topic_score_gemma":0.0006868558,"domain_scores_codex":[0.9980211,0.00034894,0.0001588124,0.0003394133,0.000792841,0.0003388955],"domain_scores_gemma":[0.9953354,0.001342298,0.0004376757,0.002122075,0.0006336478,0.0001288639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009852778,0.0006055275,0.01877544,0.000717013,0.0001254039,0.001196958,0.002159002,0.03932363,0.2055552,0.09134091,0.01833768,0.620878],"study_design_scores_gemma":[0.0001393673,0.0005696859,0.006923635,0.0001903902,0.0001495638,0.001498251,0.0002356161,0.3409754,0.5228842,0.04986074,0.07637681,0.0001963818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06219621,0.0002377698,0.8701803,0.0001755092,0.00008304568,0.0001674928,0.0001677051,0.05997343,0.006818521],"genre_scores_gemma":[0.7146457,0.0002106133,0.2742598,0.0003400492,0.00005212323,0.0002331432,0.0004609656,0.005240799,0.004556871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003237563,"threshold_uncertainty_score":0.01083076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822068934685864,"score_gpt":0.2849261348126105,"score_spread":0.2567054454657519,"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."}}