{"id":"W2150439624","doi":"10.1002/smr.519","title":"Studying software evolution of large object‐oriented software systems using an ETGM algorithm","year":2010,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Algorithm; Software; Scalability; Oracle; Software evolution; Software system; Theoretical computer science; Data mining; Software construction; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002662189,0.000569143,0.0004659545,0.001642262,0.0004582583,0.000685691,0.001051662,0.001072163,0.0007766947],"category_scores_gemma":[0.01185013,0.0003198576,0.000567743,0.001621885,0.0005864892,0.001526285,0.0009089091,0.000695896,0.0001538146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060165,"about_ca_system_score_gemma":0.0008543619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00566653,"about_ca_topic_score_gemma":0.003856743,"domain_scores_codex":[0.9991401,0.0003030039,0.00006622858,0.0002319937,0.0002120222,0.00004661376],"domain_scores_gemma":[0.9936271,0.004260595,0.0006168049,0.0006127389,0.0007411095,0.0001417329],"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":[0.0001404401,0.0001373414,0.01834505,0.0001204459,0.00007994186,0.0001593492,0.0003380684,0.8109539,0.008987635,0.007180864,0.0007577187,0.1527993],"study_design_scores_gemma":[0.000009712981,0.00001640164,0.0008108487,0.000003766036,0.000007007649,0.00003933559,0.0000197838,0.9938471,0.001926901,0.003008346,0.0003079515,0.000002819267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3401111,0.0001777273,0.6568596,0.0003056448,0.00001726245,0.00008440044,0.0001160926,0.001347548,0.0009806176],"genre_scores_gemma":[0.3587698,0.00008134739,0.6398625,0.00004227696,0.000007505105,0.0000672676,0.0003241901,0.00009353799,0.0007516724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00566653,"threshold_uncertainty_score":0.01407915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770398146278333,"score_gpt":0.2931408894074464,"score_spread":0.275436907944663,"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."}}