{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000192562,0.0000674047,0.00007207724,0.00004889739,0.0001209435,0.0000346713,0.0002476716,0.00004164699,0.00003114493],"category_scores_gemma":[0.000009141812,0.00004688932,0.00003734351,0.0001404064,0.00002288691,0.0004976845,0.00006836911,0.00004792041,0.00009202092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003338004,"about_ca_system_score_gemma":0.00001981976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001859693,"about_ca_topic_score_gemma":0.000003119355,"domain_scores_codex":[0.9993816,0.00002529083,0.0001160601,0.0001969541,0.0001394268,0.0001406697],"domain_scores_gemma":[0.9995722,0.00001756084,0.00003668313,0.0003023314,0.00003603305,0.00003520231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001179727,0.00124606,0.3249874,0.0002517536,0.0001093136,0.00007159112,0.03650159,0.0006106455,0.01135329,0.1499422,0.002064376,0.4727439],"study_design_scores_gemma":[0.001574618,0.0009302051,0.4793709,0.0003820649,0.00003892405,0.0001319615,0.0006086876,0.2784241,0.2126588,0.02083344,0.003405075,0.001641219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6748239,0.00001973797,0.3152635,0.00003043276,0.0004665448,0.00007131082,1.257839e-7,0.0001782151,0.009146208],"genre_scores_gemma":[0.9665447,0.000002124102,0.03322251,0.00009638797,0.00004362231,0.000001524179,9.365419e-8,0.000002531625,0.00008654295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4711027,"threshold_uncertainty_score":0.1912091,"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."}}