{"id":"W2791141695","doi":"10.48550/arxiv.1801.02716","title":"The Android Update Problem: An Empirical Study","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Android (operating system); Computer science; Phone; Empirical research; Merge (version control); Android application; Operating system; Information retrieval","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":[0.01158725,0.0005526232,0.0005603912,0.003435339,0.002380453,0.002867201,0.002200897,0.002430875,0.003454344],"category_scores_gemma":[0.107265,0.0005815116,0.0005494934,0.004686409,0.002528124,0.006740132,0.00232495,0.00398595,0.0008450598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710031,"about_ca_system_score_gemma":0.001415573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820942,"about_ca_topic_score_gemma":0.007435401,"domain_scores_codex":[0.9858526,0.006574161,0.001236579,0.001594068,0.003753595,0.0009890061],"domain_scores_gemma":[0.7454994,0.2025545,0.02576567,0.008046625,0.01454862,0.003585145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004475661,0.004338454,0.9086202,0.0007182524,0.0001323624,0.001903915,0.02541604,0.001391839,0.0006386252,0.003527414,0.008365106,0.0445002],"study_design_scores_gemma":[0.0001815689,0.001167236,0.8320097,0.0006151855,0.0001652283,0.004351659,0.1050485,0.02556011,0.001303295,0.002855574,0.0266057,0.0001362426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946824,0.0003327892,0.0007151904,0.0006536876,0.00001077357,0.0001478931,0.000382766,0.00002660667,0.003047919],"genre_scores_gemma":[0.9955219,0.0003515543,0.00197723,0.0002341649,0.00002294279,0.0001502786,0.0009595974,0.00003068071,0.0007517409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158725,"threshold_uncertainty_score":0.06127995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08550174080827891,"score_gpt":0.2452149309797552,"score_spread":0.1597131901714763,"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."}}