{"id":"W4366149280","doi":"10.1016/j.procs.2023.03.077","title":"Maintenance Cost of Software Ecosystem Updates","year":2023,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Software; Software maintenance; Software development; Ecosystem; Software engineering; Software analytics; Software construction; Operating system; Ecology","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":[0.001549015,0.0001773883,0.0002348387,0.0006533178,0.0001822302,0.0002722251,0.004033678,0.00004520475,0.000003979012],"category_scores_gemma":[0.001042796,0.0001603087,0.0000588785,0.005658316,0.0002441521,0.001057834,0.00173213,0.0001711196,0.0003137931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004871,"about_ca_system_score_gemma":0.0004794181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005368709,"about_ca_topic_score_gemma":0.000002013383,"domain_scores_codex":[0.9969097,0.00002353033,0.0003210511,0.0007992017,0.001104726,0.00084181],"domain_scores_gemma":[0.997484,0.0006552592,0.0001020107,0.0009453992,0.0005684238,0.0002449176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001944932,0.0002722021,0.1867471,0.001533148,0.00006326787,0.0003016953,0.006040187,0.04938031,0.007050413,0.06048596,0.03346656,0.6546398],"study_design_scores_gemma":[0.0003320886,0.0001295072,0.07496653,0.0001921765,0.000001992093,0.00007346764,0.00001108493,0.9082997,0.01154023,0.00142718,0.002626132,0.0003998814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06626681,0.00003810897,0.9304894,0.0003355218,0.00120215,0.0003229968,0.000006753964,0.001298638,0.00003961487],"genre_scores_gemma":[0.8166136,0.00001548096,0.1830699,0.00006845628,0.0001044072,0.000054075,0.000001671081,0.00001441448,0.00005798821],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8589194,"threshold_uncertainty_score":0.7495645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677342154704952,"score_gpt":0.2577916063472722,"score_spread":0.2410181848002227,"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."}}