{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000625762,0.0004971398,0.0002885688,0.0007646796,0.0002462314,0.0006056795,0.001132312,0.0002741064,0.005781016],"category_scores_gemma":[0.003089667,0.0002328047,0.0002668015,0.0004537092,0.000339299,0.000676156,0.0006026122,0.0006037364,0.0007873047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006799741,"about_ca_system_score_gemma":0.001416287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004769221,"about_ca_topic_score_gemma":0.004313739,"domain_scores_codex":[0.9990977,0.0001448411,0.00005263699,0.0001124414,0.00045058,0.0001418844],"domain_scores_gemma":[0.9969388,0.0009094508,0.0002842301,0.001069139,0.0006949221,0.0001034198],"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":[0.001450732,0.0002182484,0.01647242,0.0004589819,0.00008869998,0.0002909109,0.0003695307,0.1587778,0.1815312,0.0119581,0.01410531,0.614278],"study_design_scores_gemma":[0.000124548,0.0005136157,0.004734559,0.00005463728,0.00005112229,0.0002789592,0.00005070878,0.7734247,0.1893283,0.003014869,0.0283567,0.00006724649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3068067,0.0005337831,0.62472,0.0003012563,0.0001723853,0.0001616176,0.000416444,0.05232215,0.01456558],"genre_scores_gemma":[0.8782973,0.0001116151,0.1159002,0.00006196056,0.00002373958,0.00003629367,0.0003928232,0.0005945106,0.004581439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005781016,"threshold_uncertainty_score":0.01933944,"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."}}