{"id":"W2140113450","doi":"10.3844/jcssp.2008.571.577","title":"An Empirical Validation of Object-Oriented Design Metrics for Fault Prediction","year":2008,"lang":"en","type":"article","venue":"Journal of Computer Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Empirical research; Fault (geology); Data mining; Artificial intelligence; Statistics","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":[0.002703007,0.00009484985,0.0001990529,0.0009549527,0.0001717117,0.00009956265,0.001574057,0.00004444864,8.841802e-7],"category_scores_gemma":[0.000944291,0.00008004979,0.00007994562,0.002678667,0.0001750932,0.001893902,0.0001256534,0.0001633252,0.000001074064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281577,"about_ca_system_score_gemma":0.0006735225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001313357,"about_ca_topic_score_gemma":2.686504e-8,"domain_scores_codex":[0.9975807,0.00008281378,0.0004737635,0.0002515803,0.00133722,0.0002738858],"domain_scores_gemma":[0.9966586,0.0008175214,0.0002858017,0.0003826578,0.001646012,0.000209454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001429795,0.001067314,0.07090112,0.00007705441,0.00006992606,0.00009148943,0.007179072,0.7879832,0.03572567,0.001376594,0.005583616,0.089802],"study_design_scores_gemma":[0.0004404917,0.001635722,0.0405188,0.00002348264,0.000004223946,0.0003026187,0.000004054112,0.8936471,0.06294198,0.0002157506,0.0001806273,0.0000851562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638017,0.00002610284,0.7351302,0.00006891516,0.000821748,0.000112053,8.827154e-7,0.00003643482,0.000001972978],"genre_scores_gemma":[0.5309095,0.000006120471,0.4689421,0.00001833549,0.0001168284,0.000001426731,1.92843e-7,0.000003332386,0.000002188189],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2671078,"threshold_uncertainty_score":0.3264336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06229142806206331,"score_gpt":0.3362134112885583,"score_spread":0.273921983226495,"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."}}