{"id":"W10528201","doi":"","title":"A Comparative Study of Attribute Weighting Techniques for Software Defect Prediction Using Case-based Reasoning.","year":2010,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Weighting; Case-based reasoning; Artificial intelligence; Software; Data mining; Software bug; Machine learning; 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":[0.0107465,0.00144272,0.001315775,0.007901805,0.0005730742,0.001992272,0.002166847,0.00157347,0.00245918],"category_scores_gemma":[0.02804152,0.0005661829,0.002058039,0.003860485,0.0006312988,0.003105444,0.001458826,0.001443441,0.0005027767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345537,"about_ca_system_score_gemma":0.00175003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039277,"about_ca_topic_score_gemma":0.00735849,"domain_scores_codex":[0.9938261,0.002593695,0.0007740622,0.0008526458,0.001737731,0.0002157029],"domain_scores_gemma":[0.9668229,0.02801125,0.001049626,0.001527954,0.002095576,0.0004927455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006444117,0.0009211199,0.01486484,0.0005764386,0.0006153492,0.0002543571,0.0003588116,0.1671754,0.002584973,0.009678983,0.002644606,0.7996807],"study_design_scores_gemma":[0.00003417277,0.0000868887,0.00116497,0.0000484853,0.00008289421,0.0001030725,0.00008962052,0.9912703,0.0006477419,0.005716079,0.0007391828,0.00001662019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05318854,0.002030892,0.9387344,0.0004647929,0.00008901939,0.0004953823,0.0004971409,0.002045831,0.002454076],"genre_scores_gemma":[0.3202675,0.0008011702,0.676991,0.0001120046,0.00005466974,0.0002190386,0.0008260125,0.00009361676,0.0006350694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0107465,"threshold_uncertainty_score":0.05683357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367192653525818,"score_gpt":0.2858433382454,"score_spread":0.2621714117101419,"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."}}