{"id":"W3040858112","doi":"10.1002/stvr.1745","title":"TimelyRep: Timing deterministic replay for Android web applications","year":2020,"lang":"en","type":"article","venue":"Software Testing Verification and Reliability","topic":"Green IT and Sustainability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Debugging; Computer science; Android (operating system); Web application; Touchscreen; Backward compatibility; Mobile device; Operating system; Embedded system; Event (particle physics); World Wide Web","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":[0.0003139032,0.000149393,0.0001806377,0.00002477159,0.0002097444,0.00004452186,0.0001199183,0.00009085902,0.00001185308],"category_scores_gemma":[0.002769525,0.0001516012,0.00004787532,0.0002388625,0.0001007766,0.00008607397,0.00002673972,0.0001363695,0.00001087908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005946182,"about_ca_system_score_gemma":0.00005530176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004755047,"about_ca_topic_score_gemma":8.867045e-7,"domain_scores_codex":[0.9989527,0.00002548288,0.0003255504,0.0003994391,0.0000904996,0.0002063464],"domain_scores_gemma":[0.9987327,0.0004811593,0.00005362829,0.0003666402,0.0002062262,0.0001596665],"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":[0.0002139298,0.0003592239,0.3972574,0.01220398,0.00009232587,0.000006651623,0.00510914,0.02417345,0.01697698,0.001006811,0.00886202,0.5337381],"study_design_scores_gemma":[0.00106763,0.0002641921,0.08159151,0.00005403625,0.0001216755,0.00001709325,0.0003591299,0.8360751,0.0009993715,0.006387408,0.07212888,0.0009339581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5158427,0.0003374589,0.4758656,0.0008163847,0.0001870595,0.00241707,0.0001297923,0.003408002,0.0009959221],"genre_scores_gemma":[0.9508666,0.000006680102,0.04855774,0.0000839671,0.00008690196,0.0002949939,0.00003686926,0.00002673766,0.00003949605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8119017,"threshold_uncertainty_score":0.6182119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03088089899466809,"score_gpt":0.2437286771006506,"score_spread":0.2128477781059825,"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."}}