{"id":"W2167809408","doi":"10.1109/wcre.1999.806964","title":"Experiments with clustering as a software remodularization method","year":2003,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; Computer science; Reverse engineering; Data mining; Domain (mathematical analysis); Software; Code (set theory); Source code; Software engineering; Theoretical computer science; Machine learning; Programming language; Mathematics","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":[0.008327816,0.001499581,0.001308995,0.002091297,0.00158837,0.001067806,0.002235153,0.001906707,0.001870889],"category_scores_gemma":[0.03923976,0.0005663837,0.0009504872,0.003296235,0.001025903,0.001962127,0.001394633,0.001571542,0.0007719697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202803,"about_ca_system_score_gemma":0.000953148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006390264,"about_ca_topic_score_gemma":0.005533332,"domain_scores_codex":[0.9924259,0.003865264,0.0007836439,0.001089233,0.001372404,0.0004636014],"domain_scores_gemma":[0.9380143,0.04376283,0.002004347,0.007419297,0.007382265,0.001416965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01409724,0.01458701,0.03639768,0.002730096,0.001008541,0.0006300504,0.004250519,0.3782623,0.05530239,0.005682372,0.01498424,0.4720677],"study_design_scores_gemma":[0.001188159,0.006900892,0.02113922,0.00009074905,0.000338879,0.0003390943,0.00151186,0.9091331,0.04835876,0.005272727,0.005534264,0.0001922099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514106,0.0006080134,0.03871238,0.0003674255,0.0001544178,0.001123948,0.0009852236,0.002505817,0.004132145],"genre_scores_gemma":[0.8108128,0.0002400185,0.1815551,0.0001442318,0.00005602191,0.0009299564,0.002993125,0.000497044,0.002771687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008327816,"threshold_uncertainty_score":0.04404223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114513403742583,"score_gpt":0.3051099445116784,"score_spread":0.2839648104742525,"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."}}