{"id":"W2899501705","doi":"10.1145/3236024.3236081","title":"Performance comprehension at WiredTiger","year":2018,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Debugging; Computer science; Software bug; Program comprehension; Software engineering; Algorithmic program debugging; Task (project management); Process (computing); Software; Focus (optics); Field (mathematics); Comprehension; Programming language; Human–computer interaction; Software system; Engineering; Systems engineering","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":[0.001319791,0.0006870467,0.0003244621,0.001396466,0.001919633,0.00392967,0.0007712017,0.001280862,0.1004784],"category_scores_gemma":[0.008084077,0.0002903125,0.0003205433,0.0007889189,0.001857929,0.008532709,0.003225713,0.002222017,0.02743508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347229,"about_ca_system_score_gemma":0.001104643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209523,"about_ca_topic_score_gemma":0.006428059,"domain_scores_codex":[0.99835,0.0003151318,0.00006047795,0.0003689907,0.0006408873,0.0002645176],"domain_scores_gemma":[0.9978244,0.0006702628,0.0001117719,0.0002333851,0.000735728,0.0004244437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003034869,0.0001875815,0.004472124,0.0002353017,0.00001525341,0.001073271,0.02211465,0.0004245077,0.005328545,0.1925269,0.4420503,0.331268],"study_design_scores_gemma":[0.00002370602,0.00009276168,0.003504439,0.0001822426,0.00001243226,0.0005666545,0.003392824,0.001195387,0.004609284,0.05436984,0.9319975,0.00005300524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05037529,0.002273773,0.02372019,0.03745598,0.002627357,0.00005733251,0.001396992,0.009766159,0.8723269],"genre_scores_gemma":[0.4015131,0.001457035,0.01137142,0.004000781,0.001190091,0.00005748865,0.001977158,0.006873264,0.5715596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1004784,"threshold_uncertainty_score":0.3361337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339971948617336,"score_gpt":0.2267803210477097,"score_spread":0.2133806015615364,"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."}}