{"id":"W1491093693","doi":"10.1007/978-3-642-13428-9_5","title":"Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machine learning; Computer science; Artificial intelligence; Software quality; Data mining; Support vector machine; Software; Classifier (UML); Linear discriminant analysis; Software metric; Naive Bayes classifier; Categorization; Statistical classification; Algorithm; Software development","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000950467,0.000243406,0.0004642961,0.000440911,0.00006306378,0.00001959046,0.0005314247,0.0001898925,0.000005075221],"category_scores_gemma":[0.002454844,0.0002538598,0.00007628699,0.0002340513,0.0004839888,0.000103109,0.0002047181,0.0003293404,0.00000133621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736161,"about_ca_system_score_gemma":0.0008663386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008390553,"about_ca_topic_score_gemma":0.00002834454,"domain_scores_codex":[0.9975593,0.00004089952,0.0006532941,0.0005346483,0.00102909,0.000182747],"domain_scores_gemma":[0.9924874,0.00357126,0.000306596,0.0003256313,0.003247603,0.00006150026],"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":[0.00002712428,0.0000567622,0.0002983432,0.0003974353,0.0001236681,6.27123e-7,0.0009702265,0.8468187,0.00003223227,0.0905054,0.0002198876,0.06054959],"study_design_scores_gemma":[0.0001404849,0.00006936693,0.001347423,0.0001680039,0.0000183451,0.00000142249,0.00000789531,0.6526487,0.0001724724,0.3452703,0.0000240679,0.0001314742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006198929,0.001150678,0.9969315,0.000232091,0.0001697456,0.0006983547,0.00005561512,0.00005814814,0.00008395643],"genre_scores_gemma":[0.1156962,0.00005295745,0.883681,0.00002157108,0.00004926859,0.00007300275,0.00007267961,0.00002669464,0.000326655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2547649,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4482315763401465,"score_gpt":0.4587910225596661,"score_spread":0.0105594462195196,"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."}}