{"id":"W2771651905","doi":"10.1109/esem.2017.46","title":"Which Version Should Be Released to App Store?","year":2017,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Mobile apps; Computer science; Analytics; Predictive analytics; Random forest; Open source; Analogical reasoning; App store; Smartphone app; Mobile device; Data science; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004451111,0.0005243362,0.0003682807,0.002185715,0.0009541388,0.002190911,0.000849308,0.0008765307,0.003279978],"category_scores_gemma":[0.05397865,0.0003794902,0.0006441223,0.001731108,0.0009272061,0.004437263,0.0006979526,0.001006879,0.001112136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009745678,"about_ca_system_score_gemma":0.0009594657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004755509,"about_ca_topic_score_gemma":0.00418431,"domain_scores_codex":[0.9959224,0.0006118721,0.0005516497,0.001105473,0.001556607,0.0002518808],"domain_scores_gemma":[0.9418746,0.03548624,0.01225169,0.004027258,0.005232548,0.001127614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001551282,0.0004143578,0.5587476,0.001475962,0.000202641,0.003096126,0.004686892,0.008817203,0.016143,0.00673881,0.01001593,0.3881102],"study_design_scores_gemma":[0.0001298205,0.001048145,0.7545453,0.001121925,0.0004288092,0.007100847,0.004283741,0.122615,0.02795261,0.01868536,0.06181733,0.0002711172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9625276,0.001451079,0.02080668,0.001606366,0.00009563868,0.0002618393,0.002685004,0.001385141,0.009180621],"genre_scores_gemma":[0.9816001,0.0005600324,0.01372165,0.0002047075,0.00007105741,0.00007256027,0.001679661,0.0002128928,0.00187745],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004755509,"threshold_uncertainty_score":0.02354002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474050663246724,"score_gpt":0.3137634228131647,"score_spread":0.2690229161806975,"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."}}