{"id":"W2493237406","doi":"10.1145/2897073.2897101","title":"Migrating user interfaces in native mobile applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Porting; Computer science; Android (operating system); User interface; Mobile device; Mobile computing; Source code; Mobile Web; Process migration; Human–computer interaction; Process (computing); Mobile technology; Embedded system; Operating system; Software","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":[0.001531588,0.0007495654,0.0005193739,0.0008990553,0.0008060548,0.002002137,0.001760353,0.001310478,0.002032549],"category_scores_gemma":[0.0113487,0.001027306,0.0007642137,0.0005010348,0.0008341157,0.002264387,0.003131631,0.001573266,0.001797844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566603,"about_ca_system_score_gemma":0.0008124456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115384,"about_ca_topic_score_gemma":0.001378764,"domain_scores_codex":[0.9982315,0.0003852294,0.0002007868,0.0003610844,0.0006086493,0.0002127674],"domain_scores_gemma":[0.9950342,0.001346642,0.0004162452,0.002012423,0.0009815779,0.0002089331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001052548,0.0006494076,0.01727274,0.001246592,0.0001481259,0.002678328,0.008151128,0.01451111,0.1926962,0.03204673,0.02007966,0.7094674],"study_design_scores_gemma":[0.000203709,0.0007104673,0.02078043,0.0006233181,0.0002436846,0.004126282,0.002816824,0.3946418,0.3063697,0.04503826,0.2241598,0.0002857492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1203575,0.0008100443,0.8373204,0.0003389581,0.0002441182,0.0007000297,0.0002190736,0.03250943,0.007500325],"genre_scores_gemma":[0.436662,0.0005249108,0.5421847,0.0006621217,0.00005985289,0.0006505381,0.0009354857,0.004537567,0.01378273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002032549,"threshold_uncertainty_score":0.008099914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026904760670829,"score_gpt":0.2595201833456993,"score_spread":0.249251135738991,"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."}}