{"id":"W2091122638","doi":"10.1109/apsec.2011.51","title":"A Case Study of Measuring Degeneration of Software Architectures from a Defect Perspective","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Program for New Century Excellent Talents in University","keywords":"Computer science; Perspective (graphical); Compiler; Architecture; Degeneration (medical); Architectural pattern; Software architecture; Software engineering; Software; Software system; Programming language; Artificial intelligence; Software construction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002086,0.00008957829,0.0001482498,0.0001852743,0.0000348973,0.00001425385,0.0003783719,0.00002718314,0.00001869071],"category_scores_gemma":[0.0006093944,0.00007661498,0.00005575844,0.0002984571,0.00002276544,0.00007995821,0.0001904758,0.00009820682,0.000001775801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003947403,"about_ca_system_score_gemma":0.00005032036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187033,"about_ca_topic_score_gemma":0.0009903986,"domain_scores_codex":[0.9990333,0.00008453253,0.0001671935,0.0002667643,0.0003139411,0.0001342599],"domain_scores_gemma":[0.9987817,0.0004092153,0.00004799876,0.0004823293,0.0002285979,0.00005008937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009330524,0.002436043,0.5314372,0.00008761728,0.0006789317,0.002582811,0.4140001,0.008757635,0.01137351,0.003867845,0.00003937566,0.02464563],"study_design_scores_gemma":[0.00403038,0.004682182,0.3977487,0.000123881,0.000122528,0.001405386,0.02631271,0.02637144,0.5303631,0.007754185,0.000002268307,0.001083233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6410467,0.0000534931,0.3585664,0.000001485104,0.00003496574,0.0001510826,0.000001112142,0.00009244926,0.0000523056],"genre_scores_gemma":[0.9085599,2.418607e-7,0.09139485,0.000002208961,0.00001405287,0.00001557322,1.328549e-7,0.000007310703,0.000005798863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5189896,"threshold_uncertainty_score":0.9947097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07015871070585016,"score_gpt":0.2706566237819026,"score_spread":0.2004979130760524,"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."}}