{"id":"W2034400602","doi":"10.1109/quatic.2010.61","title":"IDS: An Immune-Inspired Approach for the Detection of Software Design Smells","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Code smell; Computer science; Creatures; Software engineering; Software; Artificial intelligence; Human–computer interaction; Software quality; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567833,0.001061647,0.001254822,0.004241581,0.0005078759,0.001372916,0.002012054,0.001710883,0.001092865],"category_scores_gemma":[0.003399462,0.0004657171,0.001202424,0.001488574,0.0007934792,0.001287952,0.001337987,0.0009422249,0.0006985142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007101836,"about_ca_system_score_gemma":0.00096954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572128,"about_ca_topic_score_gemma":0.002034125,"domain_scores_codex":[0.9982052,0.0003902559,0.0001304321,0.0003875937,0.000742895,0.000143652],"domain_scores_gemma":[0.9977679,0.0007778478,0.0003954546,0.0003319535,0.0005871212,0.0001396759],"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":[0.0005192158,0.001059317,0.0283266,0.0009239399,0.0004456323,0.0009024258,0.0005407982,0.05846063,0.1089308,0.0120452,0.01436543,0.7734801],"study_design_scores_gemma":[0.00004565456,0.000265094,0.00443649,0.00004655688,0.0001016665,0.0007301571,0.0001134448,0.9454824,0.03081513,0.009303725,0.008591121,0.00006856138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05648632,0.0007738594,0.9303308,0.0006101112,0.0001937404,0.0002692345,0.0003983272,0.007643344,0.003294327],"genre_scores_gemma":[0.2967792,0.0002820077,0.6980428,0.0004956918,0.00007989783,0.0001826498,0.0005732988,0.0001766551,0.003387838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004241581,"threshold_uncertainty_score":0.008291543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121119965723664,"score_gpt":0.2650303641087586,"score_spread":0.233819164451522,"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."}}