{"id":"W1602207954","doi":"","title":"Proceedings of the 2008 workshop on Defects in large software systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software bug; AspectJ; Computer science; Benchmark (surveying); Software; Software engineering; Usability; Cover (algebra); Software testing; Feature (linguistics); Data science; Engineering; Programming language; Operating system; Aspect-oriented programming","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":[0.000382348,0.0001147863,0.0001977233,0.00008122985,0.0001197075,0.00002476223,0.0007449079,0.00009218977,0.000004169543],"category_scores_gemma":[0.0001410113,0.00006476034,0.00007871019,0.0007660043,0.00004819747,0.0002820402,0.0001853946,0.0001584046,0.00003315831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005384634,"about_ca_system_score_gemma":0.00006728786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004213442,"about_ca_topic_score_gemma":0.00001203996,"domain_scores_codex":[0.9987875,0.0000198725,0.0002888838,0.0002779846,0.0003558336,0.0002699806],"domain_scores_gemma":[0.9992605,0.000104601,0.0001038266,0.0003699075,0.0001192084,0.0000418927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008867142,0.0001897172,0.9838731,0.0001890749,0.000006896437,0.000003787105,0.001550351,0.0003042872,0.00005085942,0.006240039,0.00703927,0.0005438089],"study_design_scores_gemma":[0.001333308,0.0001644882,0.9766142,0.00103402,0.00000491947,0.0001304558,0.0004140374,0.01209152,0.003371316,0.0003518436,0.004008165,0.0004817012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912183,0.0001522449,0.004177792,0.00011521,0.0006453689,0.0004224578,9.902712e-7,0.0001592685,0.003108427],"genre_scores_gemma":[0.998256,0.00002175613,0.0006896458,0.0001166684,0.00003715594,0.00002792347,1.463905e-7,0.000005611384,0.0008451217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178724,"threshold_uncertainty_score":0.264085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150228644072863,"score_gpt":0.224092938638122,"score_spread":0.2090700742308357,"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."}}