{"id":"W1968445931","doi":"10.1109/wcre.2011.66","title":"Focusing on Execution Traces Using Diver","year":2011,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Software engineering; Software; Reverse engineering; 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":[0.003063593,0.001788372,0.00117355,0.003268138,0.0006378882,0.003161173,0.002153535,0.001433626,0.005852451],"category_scores_gemma":[0.02122197,0.0009739422,0.001174766,0.002012782,0.00156872,0.007194152,0.004832053,0.002980039,0.001726952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007121202,"about_ca_system_score_gemma":0.001288187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817194,"about_ca_topic_score_gemma":0.003353726,"domain_scores_codex":[0.9963146,0.0009594798,0.0002669321,0.0006952607,0.001499938,0.0002638459],"domain_scores_gemma":[0.9835055,0.008511185,0.0009411378,0.005084071,0.001548409,0.000409645],"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":[0.0009635778,0.0002893828,0.01242375,0.001131024,0.0002339704,0.001420259,0.006235894,0.06289271,0.07217293,0.2032111,0.01297376,0.6260517],"study_design_scores_gemma":[0.00009903398,0.000262336,0.003344313,0.0003359076,0.0001525044,0.001537879,0.0009333285,0.5207509,0.1228476,0.2407999,0.1086566,0.0002797341],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01015531,0.0002470013,0.9684435,0.0001543342,0.00003966978,0.00004966418,0.0003015847,0.01776725,0.002841739],"genre_scores_gemma":[0.2990004,0.001013122,0.6814163,0.0002825682,0.0000956613,0.0002696648,0.002294387,0.01002006,0.005607802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005852451,"threshold_uncertainty_score":0.01957846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008208403963924,"score_gpt":0.250327347975805,"score_spread":0.1495065075794126,"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."}}