{"id":"W4385632434","doi":"10.1002/smr.2602","title":"Understanding the quality and evolution of Android app build systems","year":2023,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Monash University","keywords":"Android (operating system); Computer science; Plug-in; Executable; Scripting language; Software quality; Software engineering; Software; World Wide Web; Software development; Operating system","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":[0.002155625,0.00009277486,0.0002037545,0.0002903577,0.0001693762,0.0001046561,0.0003457217,0.00006512273,7.901343e-7],"category_scores_gemma":[0.001329069,0.00006590476,0.00004022198,0.0008797863,0.0001057559,0.0004952052,0.0001064095,0.0002316606,0.000001247161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910548,"about_ca_system_score_gemma":0.0001695427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002220952,"about_ca_topic_score_gemma":0.000001692244,"domain_scores_codex":[0.9985624,0.0001019184,0.0004031064,0.0001463802,0.0005920039,0.0001942134],"domain_scores_gemma":[0.9982272,0.0008863601,0.0002852187,0.0001649649,0.0003379592,0.00009825621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001530687,0.0001041146,0.8802544,0.002897559,0.0002135861,0.00003514409,0.005557409,0.02250937,0.0008109608,0.07929093,0.003610051,0.004563446],"study_design_scores_gemma":[0.001310689,0.0003848629,0.9039041,0.0006859303,0.0000312521,0.0006014308,0.002914137,0.046715,0.0001023486,0.04272213,0.0003013354,0.000326758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1863652,0.002963574,0.8097659,0.0003404671,0.000370112,0.00009321061,0.000002855157,0.00009070264,0.000007966019],"genre_scores_gemma":[0.9989088,0.0001182469,0.0008331976,0.000007380625,0.00008966516,0.000003159234,3.073774e-7,0.000006839398,0.00003242624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8125436,"threshold_uncertainty_score":0.2687518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0747303414186689,"score_gpt":0.3257983305552615,"score_spread":0.2510679891365926,"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."}}