{"id":"W128336448","doi":"10.5555/2555523.2555553","title":"Revisiting prior empirical findings for mobile apps: an empirical case study on the 15 most popular open-source Android apps","year":2013,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Software Engineering Research","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Android (operating system); Computer science; Software; Mobile device; Mobile apps; World Wide Web; Mobile computing; Empirical research; Operating system; Multimedia","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002972879,0.00054094,0.000582536,0.0004595181,0.0009843438,0.002301896,0.003790425,0.0002792718,0.0000306539],"category_scores_gemma":[0.002090368,0.0004271784,0.0001751645,0.001454765,0.00009362763,0.001217949,0.001807173,0.0009557536,0.00005371267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005136982,"about_ca_system_score_gemma":0.000269338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005119928,"about_ca_topic_score_gemma":0.0002281281,"domain_scores_codex":[0.9953635,0.0004768127,0.0007325,0.001264604,0.0008450728,0.001317462],"domain_scores_gemma":[0.9942889,0.001951263,0.0001782395,0.002627118,0.000313027,0.000641498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002382089,0.005380761,0.5982555,0.0001940511,0.0003792086,0.003520887,0.01842686,0.01028021,0.003686791,0.006702949,0.05113471,0.3017999],"study_design_scores_gemma":[0.002854486,0.004308557,0.07625505,0.000244563,0.0000663016,0.003891182,0.005602808,0.8838392,0.003126201,0.001104683,0.01663707,0.002069817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5681813,0.0001733069,0.423125,0.002916513,0.00006330838,0.004690918,0.00000987379,0.0008212939,0.00001846264],"genre_scores_gemma":[0.9153332,0.000008698322,0.07372351,0.002499802,0.0002195685,0.007743544,0.000009517844,0.000125222,0.0003369784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8735591,"threshold_uncertainty_score":0.999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552042791183693,"score_gpt":0.3201485272367965,"score_spread":0.2846280993249596,"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."}}