{"id":"W2019441277","doi":"10.1109/icsm.2011.6080802","title":"Evaluating software clustering using multiple simulated authoritative decompositions","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Software; Decomposition; Correlation clustering; CURE data clustering algorithm; Machine learning; 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":[0.01414691,0.00142613,0.001233338,0.004071963,0.001065616,0.001987298,0.001596331,0.001423552,0.0008385086],"category_scores_gemma":[0.04630677,0.0005672514,0.0009785369,0.002692859,0.001144238,0.002197875,0.001778865,0.0009119327,0.0002478139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438932,"about_ca_system_score_gemma":0.001092793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121233,"about_ca_topic_score_gemma":0.003264199,"domain_scores_codex":[0.9867091,0.008229773,0.0007466379,0.0009829288,0.002930821,0.000400623],"domain_scores_gemma":[0.9352883,0.0408427,0.004600316,0.007993834,0.009999825,0.001274975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001204654,0.0008536089,0.02396172,0.0002165525,0.0003914268,0.0001345553,0.0007310128,0.8892707,0.006664656,0.006126646,0.001169462,0.06927501],"study_design_scores_gemma":[0.00006179497,0.0005105344,0.002451895,0.00001771261,0.00003940079,0.00006269206,0.0001825443,0.9862434,0.00775314,0.002216985,0.0004308588,0.00002910498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8615144,0.0001691705,0.1339079,0.0001114613,0.00004286023,0.0002541838,0.000238907,0.0008196015,0.002941589],"genre_scores_gemma":[0.9088128,0.00005965017,0.08982842,0.00002506938,0.00001357828,0.0002393786,0.0005458492,0.00007770662,0.0003975645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414691,"threshold_uncertainty_score":0.07481688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1972400476707733,"score_gpt":0.3931426085210296,"score_spread":0.1959025608502563,"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."}}