{"id":"W3189144731","doi":"10.1109/icces51350.2021.9489247","title":"Retracted: An Adaptable and Extensible Code Smell Detection Approach","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":true,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Code smell; Code refactoring; Mistake; Computer science; Code (set theory); Product (mathematics); Source code; Extensibility; Software engineering; Programming language; Software quality; Software; 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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005076257,0.001535907,0.0009994416,0.003895202,0.0009242613,0.002540786,0.005169901,0.001743608,0.003317937],"category_scores_gemma":[0.0195179,0.0008908525,0.001734449,0.001554386,0.001177814,0.005314683,0.005577505,0.002575257,0.001936994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009029364,"about_ca_system_score_gemma":0.002256679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005883127,"about_ca_topic_score_gemma":0.008676011,"domain_scores_codex":[0.9939366,0.0009668085,0.0004782461,0.00135361,0.00290257,0.0003621864],"domain_scores_gemma":[0.9898482,0.001861825,0.001276813,0.00362018,0.002852931,0.0005399063],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004213116,0.0006361822,0.02612809,0.0004749792,0.0001692504,0.001815236,0.002725839,0.01604473,0.01785026,0.01325064,0.01643262,0.9040508],"study_design_scores_gemma":[0.00009643269,0.0008152051,0.01493127,0.0004421569,0.0003847194,0.002579943,0.001795556,0.8194533,0.02822306,0.03606138,0.09492436,0.0002926771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03440374,0.0006545318,0.912446,0.0009039532,0.0002102338,0.0009711371,0.0006266405,0.04256,0.007223732],"genre_scores_gemma":[0.2770644,0.000453658,0.6988999,0.0008356789,0.0001314684,0.0004614314,0.002824231,0.003125335,0.01620388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9982564,"threshold_uncertainty_score":0.02684617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870829188465649,"score_gpt":0.2535352720499648,"score_spread":0.2248269801653083,"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."}}