{"id":"W3215087645","doi":"10.1155/2021/5069016","title":"A Novel Rank Aggregation‐Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction","year":2021,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Software Engineering Research","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Feature selection; Rank (graph theory); Computer science; Feature (linguistics); Software; Selection (genetic algorithm); Pattern recognition (psychology); Artificial intelligence; Data mining; Machine learning; Mathematics","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":[0.001049473,0.001047887,0.001347776,0.001798519,0.0004723028,0.000704409,0.001014287,0.0006977851,0.001023612],"category_scores_gemma":[0.001998964,0.0003052375,0.001266472,0.001481157,0.0002752463,0.000933436,0.0006277179,0.0006316578,0.0004763957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537337,"about_ca_system_score_gemma":0.000872333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004597607,"about_ca_topic_score_gemma":0.003940817,"domain_scores_codex":[0.9991387,0.0001380478,0.00006222065,0.0002067268,0.0003562902,0.00009804228],"domain_scores_gemma":[0.999321,0.0002129724,0.000075754,0.00005919797,0.0002921411,0.00003898043],"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":[0.0002930592,0.0001770535,0.006275301,0.0001566509,0.0002151221,0.0002660574,0.0001268459,0.1389569,0.02536054,0.002129209,0.006762594,0.8192806],"study_design_scores_gemma":[0.00002331018,0.000105143,0.002621939,0.00001279134,0.00005072645,0.0001074914,0.00002515062,0.9891661,0.005001477,0.001129696,0.001732563,0.00002367701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0364107,0.0008689822,0.9606029,0.0001582406,0.00006192974,0.00006615317,0.0001826655,0.001025413,0.0006230208],"genre_scores_gemma":[0.6313637,0.0007268916,0.3606735,0.0002514035,0.0001938493,0.0002857852,0.001387345,0.0001426066,0.004974824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004597607,"threshold_uncertainty_score":0.009141684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203692543679134,"score_gpt":0.3140236752147824,"score_spread":0.2719867497779911,"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."}}