{"id":"W3123784004","doi":"10.1007/s10515-020-00278-3","title":"ALBA: a model-driven framework for the automatic generation of android location-based apps","year":2021,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Plug-in; Computer science; Android (operating system); Usability; Download; Mobile apps; Code generation; World Wide Web; Software engineering; Human–computer interaction; Operating system","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":[0.0001160849,0.0001159536,0.0001358453,0.00005638312,0.0001180485,0.00007217798,0.000380071,0.00008177391,0.000004045501],"category_scores_gemma":[0.0003421502,0.0001023625,0.0000649346,0.0005639035,0.00001331402,0.000129707,0.00005068278,0.00008394991,0.000005100285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003580243,"about_ca_system_score_gemma":0.0001987802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004122393,"about_ca_topic_score_gemma":0.000002343326,"domain_scores_codex":[0.9991639,0.00001329806,0.0002561052,0.0002349953,0.0001599782,0.0001717207],"domain_scores_gemma":[0.9983874,0.0006186803,0.00008081992,0.0006314661,0.0002390018,0.00004261702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.566392e-7,0.00002683384,0.00004008432,0.00007193381,0.00002413398,5.581166e-7,0.0001588245,0.9690179,0.002052061,0.02452409,0.0003269808,0.003756373],"study_design_scores_gemma":[0.0001325133,0.00001061708,0.0003114069,0.0000655463,0.00001777501,0.000002958762,0.000004938454,0.9881929,0.0105973,0.0003815761,0.0001709181,0.0001115545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006174934,0.0003003971,0.991496,0.0003122011,0.0001327134,0.0003254942,0.000009661273,0.001246157,0.000002457107],"genre_scores_gemma":[0.5020531,0.000005896144,0.4975016,0.00008018547,0.0000291118,0.0002898787,0.00002231571,0.00001149886,0.000006419316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4958782,"threshold_uncertainty_score":0.4174222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894973313838123,"score_gpt":0.2478359306377177,"score_spread":0.2288861974993365,"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."}}