{"id":"W2061787477","doi":"10.1109/wcre.2009.59","title":"Ten Years Later, Experiments with Clustering as a Software Remodularization Method","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; Computer science; Variety (cybernetics); Similarity (geometry); Data science; Software; Information retrieval; Artificial intelligence; Programming language","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":[0.01159512,0.001626967,0.001468982,0.003038231,0.001927346,0.002165195,0.001952271,0.002424835,0.004977678],"category_scores_gemma":[0.07747685,0.0006147294,0.001356147,0.004527069,0.001207776,0.005361793,0.00175888,0.003038332,0.003355738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702031,"about_ca_system_score_gemma":0.001132609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004686113,"about_ca_topic_score_gemma":0.007461102,"domain_scores_codex":[0.9849002,0.007749606,0.001361236,0.002246476,0.003115939,0.0006265796],"domain_scores_gemma":[0.9129391,0.05829757,0.002224854,0.0156142,0.008843724,0.002080663],"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":[0.005416048,0.01357696,0.01563977,0.003113786,0.001022362,0.0002502951,0.003625141,0.04375669,0.02379193,0.009139677,0.05156652,0.8291008],"study_design_scores_gemma":[0.002572899,0.02666838,0.07817302,0.001091525,0.001566962,0.001180844,0.01031372,0.565499,0.1207911,0.04895995,0.1424054,0.0007771418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8058176,0.004982806,0.1348532,0.002490387,0.001917335,0.002818989,0.004272833,0.008633304,0.03421358],"genre_scores_gemma":[0.693191,0.0015569,0.275006,0.0010621,0.000341805,0.001990646,0.00741352,0.001408477,0.01802949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159512,"threshold_uncertainty_score":0.06132156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781640068191519,"score_gpt":0.304342125343366,"score_spread":0.2865257246614508,"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."}}