{"id":"W6930587237","doi":"10.5281/zenodo.14279534","title":"DPy: Code Smells Detection Tool for Python","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Python (programming language); Executable; Directory; Source code; Scripting language; Code smell; Graphical user interface","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":[0.002887677,0.002368384,0.0009932322,0.004651131,0.001040133,0.002768397,0.002569285,0.000760184,0.03586127],"category_scores_gemma":[0.01343347,0.002159307,0.001520221,0.002484763,0.0008999727,0.00512055,0.00469463,0.003005028,0.03048874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009604302,"about_ca_system_score_gemma":0.00274806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102178,"about_ca_topic_score_gemma":0.003632064,"domain_scores_codex":[0.9964303,0.0003860719,0.0003909884,0.0006826172,0.001778784,0.0003311714],"domain_scores_gemma":[0.9950205,0.001557074,0.0009128265,0.0009291593,0.001285027,0.0002952503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003976819,0.0001006972,0.007810688,0.00149569,0.00009653837,0.0004460412,0.0009000117,0.001841611,0.008651132,0.005555559,0.8214638,0.1512405],"study_design_scores_gemma":[0.0002017405,0.000176989,0.021548,0.0007122555,0.00009065958,0.001672578,0.0005367257,0.05242543,0.0474054,0.02042874,0.8543486,0.0004529177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005232345,0.0002711419,0.1655152,0.0003585106,0.0001624068,0.0005016026,0.04817218,0.7712314,0.008555252],"genre_scores_gemma":[0.07316694,0.000738024,0.4016838,0.001442462,0.000200399,0.003069972,0.2155191,0.2772813,0.02689797],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03586127,"threshold_uncertainty_score":0.1199679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057715978614226,"score_gpt":0.2628422943195745,"score_spread":0.2422651345334323,"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."}}