{"id":"W4235443648","doi":"10.1145/2016603.1967692","title":"Lowering overhead in sampling-based execution monitoring and tracing","year":2011,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Overhead (engineering); Debugging; Tracing; Sampling (signal processing); Embedded system; Distributed computing; Real-time computing; Software; Operating system","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":[0.003521514,0.001172908,0.001134531,0.001826819,0.0008938859,0.001649322,0.002603393,0.001030394,0.001527725],"category_scores_gemma":[0.02452837,0.0007713153,0.0005188445,0.001971625,0.001671395,0.004653025,0.002583731,0.001637753,0.0004437756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510901,"about_ca_system_score_gemma":0.002509743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426377,"about_ca_topic_score_gemma":0.002943942,"domain_scores_codex":[0.9917191,0.002783641,0.0006113784,0.0008874286,0.003264331,0.0007340981],"domain_scores_gemma":[0.9660711,0.01600334,0.004073881,0.01081225,0.002392553,0.0006469344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003566047,0.0005975631,0.01514746,0.0005399323,0.0001119609,0.0003756701,0.001341228,0.1227469,0.1354896,0.04492382,0.003458577,0.6717011],"study_design_scores_gemma":[0.0001516002,0.0005388277,0.002612778,0.00008397745,0.00009162146,0.0003291001,0.000141745,0.8533442,0.1181255,0.0194097,0.005089186,0.00008174449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09012648,0.0008889463,0.8990662,0.0003587255,0.00006436976,0.000200659,0.00006282505,0.007430081,0.001801804],"genre_scores_gemma":[0.6245167,0.0003946678,0.3722989,0.0001888695,0.0000500306,0.0002183553,0.0001559808,0.0006296281,0.001546914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003521514,"threshold_uncertainty_score":0.01862377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569044740153988,"score_gpt":0.2905479487889079,"score_spread":0.224857501387368,"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."}}