{"id":"W2095232189","doi":"10.1109/ispass.2013.6557159","title":"QTrace: An interface for customizable full system instrumentation","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"x86; Instrumentation (computer programming); Computer science; Operating system; Embedded system; Interface (matter); Source code; Architecture; Open source; Code (set theory); Computer architecture; Software; Programming language","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":[0.00273527,0.001552137,0.00101376,0.001070932,0.0005511596,0.001394399,0.003464304,0.00124615,0.02871524],"category_scores_gemma":[0.007849874,0.001457552,0.001001467,0.000662747,0.0008862849,0.00419812,0.003916291,0.003156214,0.01060736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008489006,"about_ca_system_score_gemma":0.001062459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486254,"about_ca_topic_score_gemma":0.001370748,"domain_scores_codex":[0.9981024,0.0002947118,0.0001680195,0.0003537496,0.0007800708,0.0003011494],"domain_scores_gemma":[0.9947045,0.002205604,0.0003153094,0.001812995,0.0007338733,0.000227684],"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":[0.004967948,0.0005243915,0.01057445,0.001361693,0.0003323302,0.001542461,0.002557535,0.01945567,0.0999314,0.04277341,0.3022349,0.5137438],"study_design_scores_gemma":[0.0005775685,0.0005598677,0.008008401,0.0003904539,0.0001598929,0.001754048,0.0001935348,0.2657174,0.2209283,0.03426211,0.4668532,0.0005952365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006670564,0.000164522,0.5421658,0.000121775,0.0001132359,0.0002040147,0.001163546,0.4434851,0.005911596],"genre_scores_gemma":[0.372015,0.0006813857,0.3616911,0.001801754,0.0003092717,0.001549525,0.01036282,0.2161418,0.0354473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02871524,"threshold_uncertainty_score":0.096062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481652300712677,"score_gpt":0.2709783376440896,"score_spread":0.2561618146369629,"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."}}