{"id":"W2486398123","doi":"10.4018/ijats.2015070103","title":"Assessing the Effect of Aspect Refactoring on Multi-Agent Applications","year":2015,"lang":"en","type":"article","venue":"International Journal of Agent Technologies and Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Code refactoring; Computer science; Modularity (biology); Profiling (computer programming); Separation of concerns; Software engineering; Distributed computing; Focus (optics); Multi-agent system; Object-oriented programming; Software; Programming language; Artificial intelligence","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":[0.00117693,0.00009605308,0.0001946046,0.00017982,0.00003653225,0.0001439034,0.001066828,0.0000542418,9.74476e-8],"category_scores_gemma":[0.001124658,0.00005521911,0.00005649351,0.0001262458,0.00005783699,0.0002821264,0.0002347231,0.000197704,9.303506e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192653,"about_ca_system_score_gemma":0.00002243414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000523797,"about_ca_topic_score_gemma":1.811119e-7,"domain_scores_codex":[0.998948,0.00009752814,0.0003396678,0.0001152521,0.0004042508,0.00009525834],"domain_scores_gemma":[0.9983872,0.0007114307,0.0004013752,0.0002447382,0.0002298478,0.00002541675],"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":[0.00005382383,0.0001119988,0.01363007,0.0001210073,0.0006013744,0.0001635382,0.0009107653,0.3127784,0.008896066,0.0338926,0.0004231259,0.6284172],"study_design_scores_gemma":[0.01691513,0.01458552,0.06156868,0.008181667,0.0003839897,0.007907632,0.04022714,0.2167563,0.4750681,0.0427645,0.1120105,0.003630798],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07265978,0.001756485,0.9235641,0.0003789381,0.001336703,0.0001273612,9.852478e-7,0.0001428559,0.00003275837],"genre_scores_gemma":[0.9523023,0.0001226657,0.0474751,0.000004276845,0.00006432472,0.00001362564,1.708721e-7,0.000004781842,0.00001279096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8796425,"threshold_uncertainty_score":0.225177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09971397772859475,"score_gpt":0.3764767923019891,"score_spread":0.2767628145733944,"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."}}