{"id":"W3021035737","doi":"10.1145/3375555.3384937","title":"Issues Arising in Using Kernel Traces to Make a Performance Model","year":2020,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Kernel (algebra); Data modeling; Mathematics; Software engineering; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03645688,0.001806319,0.001983495,0.00257224,0.001717627,0.006766161,0.005926694,0.002683334,0.001308227],"category_scores_gemma":[0.1763936,0.002441509,0.001735281,0.002316086,0.004592915,0.01780175,0.005223427,0.006547919,0.0007432632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002632047,"about_ca_system_score_gemma":0.003187334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274958,"about_ca_topic_score_gemma":0.01083959,"domain_scores_codex":[0.9708581,0.01615854,0.002449982,0.002555277,0.007043463,0.000934661],"domain_scores_gemma":[0.7830129,0.1507028,0.007382196,0.04348623,0.014107,0.001308814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003260352,0.0003900274,0.02137127,0.0008532454,0.000379441,0.0004667237,0.005236882,0.512073,0.004530769,0.2961342,0.003610712,0.1546276],"study_design_scores_gemma":[0.00003421046,0.000221063,0.002729681,0.0004355342,0.0001014507,0.0003673162,0.001163758,0.7226813,0.006920545,0.2504293,0.01474638,0.0001694849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04059152,0.0005631676,0.9492288,0.003529721,0.0001356824,0.00015358,0.0002882285,0.00188348,0.003625825],"genre_scores_gemma":[0.62724,0.0008164503,0.3672459,0.0005444153,0.0001923967,0.000331377,0.0006193022,0.001280327,0.001729887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03645688,"threshold_uncertainty_score":0.1928048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230055894267026,"score_gpt":0.2890687129960971,"score_spread":0.2367681540534268,"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."}}