{"id":"W3197075544","doi":"10.17771/pucrio.acad.48681","title":"CATALOGING DEPENDENCY INJECTION ANTI-PATTERNS IN SOFTWARE SYSTEMS","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inversa Systems (Canada)","funders":"Pontifícia Universidade Católica do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cataloging; Dependency (UML); Computer science; Software engineering; Information retrieval; World Wide Web","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":[0.006290095,0.0006693766,0.0008201161,0.01603966,0.001245903,0.002701514,0.001256806,0.001312996,0.001141679],"category_scores_gemma":[0.03598836,0.0006972575,0.0007182909,0.0153051,0.001349959,0.00411211,0.001735516,0.00082029,0.0003903584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325551,"about_ca_system_score_gemma":0.002224689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978115,"about_ca_topic_score_gemma":0.004185693,"domain_scores_codex":[0.9866166,0.002568677,0.003474788,0.002069447,0.004689314,0.0005812137],"domain_scores_gemma":[0.9002607,0.04801051,0.02433498,0.0106499,0.01532944,0.001414455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003411626,0.0004565695,0.3819503,0.00491564,0.0002004593,0.002037407,0.008336814,0.004803273,0.01285055,0.01555106,0.005095031,0.5634617],"study_design_scores_gemma":[0.0001419657,0.002046366,0.5795178,0.006186609,0.0007765479,0.02473738,0.01559546,0.05688514,0.03893185,0.07009418,0.2046272,0.0004593665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7871066,0.01108121,0.1851976,0.00139315,0.0001303176,0.0009712888,0.003309217,0.001956369,0.00885431],"genre_scores_gemma":[0.8137971,0.004985255,0.1721937,0.0003444261,0.0001159302,0.0006907253,0.005623071,0.0002582985,0.001991519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603966,"threshold_uncertainty_score":0.03326559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346676210012855,"score_gpt":0.2775621449887255,"score_spread":0.24289452398744,"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."}}