{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005993087,0.0003157549,0.0005114541,0.00437411,0.001300979,0.001934271,0.0005167114,0.0007024261,0.001478495],"category_scores_gemma":[0.03362788,0.0002716607,0.0005603996,0.003991089,0.0009469408,0.004444605,0.001756306,0.0007986397,0.0005907082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008282559,"about_ca_system_score_gemma":0.0004108346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475288,"about_ca_topic_score_gemma":0.009445588,"domain_scores_codex":[0.9952696,0.001929124,0.0005260478,0.0005970227,0.001444596,0.0002335875],"domain_scores_gemma":[0.9500296,0.02994679,0.005667307,0.00189383,0.0110854,0.001377249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002126363,0.001810605,0.6837943,0.003605095,0.0008587042,0.002690529,0.1790105,0.0003879677,0.006497686,0.001594864,0.007263997,0.1103595],"study_design_scores_gemma":[0.00006019808,0.001745186,0.8788088,0.0004688559,0.0003326399,0.002537756,0.09630159,0.001854629,0.001853682,0.0003671138,0.01556921,0.0001003258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958643,0.001236253,0.0003731055,0.0001068718,0.00001695306,0.00006457206,0.0004161346,0.000009590433,0.001912228],"genre_scores_gemma":[0.9960613,0.0008767766,0.001105188,0.0001130053,0.00003974129,0.00009652203,0.001035414,0.00002353754,0.0006484773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005993087,"threshold_uncertainty_score":0.03169483,"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."}}