{"id":"W2594266659","doi":"10.1002/cpe.4069","title":"Hardware‐assisted software event tracing","year":2017,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tracing; Computer science; x86; Debugging; Embedded system; Software; Overhead (engineering); Memory footprint; Operating system; Computer hardware","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":[0.0003903795,0.000146826,0.0001724397,0.00004171562,0.001249785,0.0007630503,0.0004036469,0.00006520033,0.000004326076],"category_scores_gemma":[0.0008563952,0.0001283221,0.0000324802,0.00007675504,0.0001909311,0.003752444,0.0002564635,0.0001457694,0.00001235689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656663,"about_ca_system_score_gemma":0.00006801479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006163032,"about_ca_topic_score_gemma":0.000002251956,"domain_scores_codex":[0.9987438,0.00008091849,0.0002788914,0.0004667841,0.0002263629,0.000203253],"domain_scores_gemma":[0.9986092,0.0003022223,0.000329716,0.0004484535,0.0001874801,0.0001228947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001824081,0.00007634925,0.01254296,0.00009383819,0.00001578557,0.00002141276,0.01454189,0.00003981912,0.00005789507,0.00286998,0.0001553296,0.9695665],"study_design_scores_gemma":[0.004741979,0.001080301,0.6863036,0.001089334,0.0001249177,0.001997548,0.01191608,0.2130568,0.00187101,0.00886381,0.06637347,0.002581123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2756946,0.00138665,0.7196345,0.00134266,0.0009625464,0.0001853278,0.000001656154,0.0001505852,0.0006414738],"genre_scores_gemma":[0.9858147,0.0002569436,0.01354517,0.0002491879,0.0000519885,0.00003299245,0.000001790517,0.000004288677,0.00004293291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9669854,"threshold_uncertainty_score":0.9612464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195901466201988,"score_gpt":0.3455792680153101,"score_spread":0.3136202533532902,"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."}}