{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442599,0.001466776,0.0005227049,0.00138553,0.000368966,0.0007002935,0.001832431,0.000551314,0.003140394],"category_scores_gemma":[0.007254559,0.0005689076,0.0005355676,0.0003291947,0.0003992944,0.001041517,0.0009711254,0.0009175429,0.001041698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708933,"about_ca_system_score_gemma":0.0009043322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004064432,"about_ca_topic_score_gemma":0.003121982,"domain_scores_codex":[0.9980437,0.0003341243,0.0002314037,0.0003173107,0.0008435102,0.0002299831],"domain_scores_gemma":[0.9946257,0.00169425,0.0006265835,0.001586877,0.001251602,0.0002148281],"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":[0.007006767,0.0006929637,0.02645311,0.002067643,0.0004227338,0.00323534,0.001676524,0.07167737,0.2015769,0.007740525,0.05299282,0.6244572],"study_design_scores_gemma":[0.0006007059,0.002572045,0.01552895,0.0001485149,0.0002971251,0.001695879,0.0002256407,0.6900192,0.2507827,0.002184983,0.03560224,0.0003421161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3377876,0.002405743,0.3645214,0.0004563948,0.0004976241,0.0008072257,0.001622801,0.283421,0.008480191],"genre_scores_gemma":[0.931396,0.000288439,0.05871186,0.000162636,0.00005574272,0.0002675416,0.001228411,0.003613279,0.004276124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004064432,"threshold_uncertainty_score":0.01050568,"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."}}