{"id":"W4254905260","doi":"10.1145/1272998.1273000","title":"JIT instrumentation","year":2007,"lang":"en","type":"article","venue":"ACM SIGOPS Operating Systems Review","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Instrumentation (computer programming); x86; Computer science; Debugging; Operating system; Profiling (computer programming); Embedded system; Linux kernel; Computer hardware; Software","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":[0.002208363,0.001282213,0.0009252129,0.0008093555,0.0009985095,0.001870384,0.002642324,0.0009374419,0.009932864],"category_scores_gemma":[0.01349109,0.000882873,0.0008280211,0.0006952315,0.001240716,0.00283898,0.002880459,0.002018564,0.004455047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556551,"about_ca_system_score_gemma":0.001750793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00082189,"about_ca_topic_score_gemma":0.0009028788,"domain_scores_codex":[0.9955971,0.0006502303,0.0003141573,0.0006998051,0.002205659,0.0005331066],"domain_scores_gemma":[0.9854969,0.003358045,0.0008601986,0.007993791,0.002004442,0.0002865869],"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":[0.001210319,0.0005141248,0.01943172,0.001983722,0.0002899259,0.0009306813,0.001659186,0.02290826,0.1758718,0.03327359,0.08098018,0.6609465],"study_design_scores_gemma":[0.0002947487,0.001413283,0.01955029,0.0003969123,0.0003457661,0.002069136,0.0003181012,0.2171198,0.3521161,0.03585503,0.3702496,0.0002711798],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07237219,0.001492753,0.7009559,0.0008682985,0.0009157652,0.0007583936,0.0009430767,0.190304,0.03138976],"genre_scores_gemma":[0.672415,0.001195276,0.2761068,0.001597537,0.0004068808,0.0008717754,0.002472353,0.0181112,0.02682333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009932864,"threshold_uncertainty_score":0.03322875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852908696458277,"score_gpt":0.3162919382443155,"score_spread":0.2877628512797327,"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."}}