{"id":"W4252165735","doi":"10.24124/2006/bpgub1329","title":"Distribution of defects in a large software system","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Memory leak; Source lines of code; Programmer; Leak; Software; Operating system; Embedded system; Memory management; Engineering; Semiconductor memory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300227,0.0001527058,0.0002126968,0.006829279,0.0005968789,0.0008493128,0.0004412468,0.000389657,0.0009890539],"category_scores_gemma":[0.01719463,0.0002594955,0.0001714051,0.003006585,0.001023954,0.0006214218,0.0007442502,0.0004184574,0.0001973266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200112,"about_ca_system_score_gemma":0.0009317948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079236,"about_ca_topic_score_gemma":0.02163091,"domain_scores_codex":[0.9975823,0.0003100906,0.0002449185,0.000441983,0.001215701,0.0002048644],"domain_scores_gemma":[0.9598323,0.01554528,0.01231002,0.003012611,0.008390132,0.0009097311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001662083,0.00007134365,0.9611928,0.00005253517,0.00003213414,0.0007397294,0.002883133,0.001204367,0.004602725,0.0002841704,0.0003286092,0.02844216],"study_design_scores_gemma":[0.00000518957,0.0003116828,0.9905651,0.00002686339,0.00003956597,0.00117519,0.001866729,0.001997977,0.002919161,0.0001717455,0.00089774,0.00002310404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982557,0.00008820552,0.0006658855,0.00003650581,0.000001303758,0.00001576712,0.000274534,0.00006895597,0.000593056],"genre_scores_gemma":[0.9987485,0.00005534481,0.0005594473,0.00001147674,0.000002322733,0.000009719232,0.0002922964,0.00001338807,0.0003073619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079236,"threshold_uncertainty_score":0.04134268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007315300180494949,"score_gpt":0.251122040824903,"score_spread":0.2438067406444081,"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."}}