{"id":"W2402006257","doi":"10.1145/2901739.2903498","title":"The dispersion of build maintenance activity across maven lifecycle phases","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Application lifecycle management; Software maintenance; Computer science; Deliverable; Software engineering; Overhead (engineering); Software; Compiler; Bridge (graph theory); Systems engineering; Software development; Operating system; Engineering","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":[0.0003651119,0.00006511264,0.00007428852,0.00001748194,0.0001021532,0.00005123642,0.0008772833,0.00002444425,0.00001190362],"category_scores_gemma":[0.0006727848,0.00002982278,0.0000448514,0.0001832813,0.0000994229,0.0002774877,0.0003991945,0.00005534924,0.00003043081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004019605,"about_ca_system_score_gemma":0.00002674771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004576741,"about_ca_topic_score_gemma":0.00001079646,"domain_scores_codex":[0.9991195,0.00002598343,0.00008186755,0.0001885827,0.0002719218,0.0003121132],"domain_scores_gemma":[0.9977593,0.001492959,0.00002877578,0.0005930916,0.00006616348,0.00005969494],"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":[0.00004665365,0.0001285206,0.0326631,0.00001925765,0.00002966054,0.00001042688,0.0002552717,0.00003944839,0.1020957,0.01031458,0.01152513,0.8428722],"study_design_scores_gemma":[0.001394787,0.0002856963,0.2627365,0.000171715,0.000002314125,0.00002079827,0.0000419943,0.01057978,0.6825832,0.001568839,0.04023665,0.0003777415],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4922086,0.00003571151,0.5050932,0.002219242,0.0001355943,0.00006411488,0.000002715212,0.0001079951,0.0001327557],"genre_scores_gemma":[0.9950468,0.00004944217,0.002303102,0.00001931295,0.00002468705,0.000006918153,3.51553e-8,0.000004954859,0.002544741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8424945,"threshold_uncertainty_score":0.1630225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374736760513408,"score_gpt":0.2910551622749453,"score_spread":0.2773077946698112,"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."}}