{"id":"W2981113098","doi":"10.48550/arxiv.1910.08876","title":"Release Practices for Mobile Apps--What do Users and Developers Think?","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Calgary","funders":"","keywords":"Vetting; Mobile apps; App store; World Wide Web; Computer science; Process (computing); Competition (biology); Internet privacy; Computer security","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"],"consensus_categories":[],"category_scores_codex":[0.0002796894,0.000263999,0.000267168,0.0001676395,0.0002087865,0.000516304,0.001435326,0.0002604075,0.000009940097],"category_scores_gemma":[0.00005067834,0.0002888547,0.0001238865,0.0003312807,0.00008811651,0.001285698,0.001352253,0.0003440444,0.00008436877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025504,"about_ca_system_score_gemma":0.0003479308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001107768,"about_ca_topic_score_gemma":0.00002176497,"domain_scores_codex":[0.9981469,0.000069809,0.0001715378,0.001241026,0.00007970594,0.0002910423],"domain_scores_gemma":[0.9974625,0.0003374582,0.0004991332,0.001345251,0.0001847441,0.0001709499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001621348,0.0004885656,0.00672943,0.0007553349,0.0005732872,0.0001199689,0.004325678,0.2141579,0.0001843818,0.7095199,0.009639034,0.05334432],"study_design_scores_gemma":[0.001806618,0.0002529604,0.001037285,0.0003620146,0.0003368577,0.0000190869,0.003692772,0.7025649,0.0004540797,0.05833757,0.2292629,0.001872919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142518,0.001140093,0.6792912,0.0003621561,0.0005904223,0.002189709,0.00002350886,0.0002568979,0.001894135],"genre_scores_gemma":[0.9820879,0.005644796,0.009529041,0.0002647681,0.000054227,0.00003350532,0.00002623847,0.00002144413,0.002338063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6697622,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542989870624588,"score_gpt":0.2200854042930773,"score_spread":0.1546555055868314,"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."}}