{"id":"W2734633251","doi":"10.1109/mobilesoft.2017.3","title":"Same App, Different App Stores: A Comparative Study","year":2017,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mobile apps; App store; Computer science; World Wide Web; Smartphone app; Scale (ratio)","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":[0.00008021023,0.0001032646,0.0001598863,0.00003044482,0.0004746884,0.0003656472,0.001551435,0.00001999263,0.00004051466],"category_scores_gemma":[0.000005903677,0.00007367624,0.00003767516,0.00004310796,0.00004991523,0.0002325059,0.0004688223,0.00007391033,0.000289827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001825343,"about_ca_system_score_gemma":0.00002021228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890014,"about_ca_topic_score_gemma":0.0003729504,"domain_scores_codex":[0.9991867,0.00002981819,0.0001277241,0.0003236915,0.0001799483,0.0001521269],"domain_scores_gemma":[0.9982,0.00004647441,0.00008606772,0.001543176,0.00004237973,0.00008190493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001265833,0.004105796,0.08550804,0.00001270831,0.0001758206,0.00001354949,0.02078909,0.00003705591,0.001035049,0.7977964,0.0390685,0.05144536],"study_design_scores_gemma":[0.001577074,0.0005358104,0.914494,0.0000135671,0.00002442672,0.000004471229,0.001929726,0.03720101,0.002137193,0.01123813,0.03025703,0.0005875925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5144999,0.00002007251,0.441544,0.0009570375,0.0001638377,0.0008966549,0.000002143471,0.0002697107,0.04164669],"genre_scores_gemma":[0.9945253,0.000002126768,0.002186179,0.0001080022,0.00004791018,0.0002334989,8.046322e-7,0.000002934499,0.002893289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8289859,"threshold_uncertainty_score":0.3725237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623788136400515,"score_gpt":0.3314322309600351,"score_spread":0.27519434959603,"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."}}