{"id":"W4407161134","doi":"10.1007/s10796-025-10579-1","title":"Does Culture Affect Post-Adoption Privacy Concerns of Mobile Cloud Computing App Users? Insights from the US, the UK, and India","year":2025,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Affect (linguistics); Cloud computing; Internet privacy; Mobile apps; Computer science; Business; World Wide Web; Psychology","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":[0.001850369,0.0001387018,0.0002430147,0.001168996,0.002387655,0.00444688,0.0005100085,0.000790948,0.003458615],"category_scores_gemma":[0.01416274,0.0002516847,0.0003304875,0.002255846,0.002444011,0.002318641,0.002444995,0.002260462,0.0003823364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489082,"about_ca_system_score_gemma":0.002608045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1113999,"about_ca_topic_score_gemma":0.1165383,"domain_scores_codex":[0.997876,0.0008124461,0.0001166288,0.0001362746,0.0004292836,0.0006293119],"domain_scores_gemma":[0.9821438,0.008527911,0.004378595,0.0006566387,0.002479242,0.001813728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352592,0.0002325743,0.7233835,0.00007214591,0.00007630868,0.0005205689,0.2549548,0.00007385392,0.0004766474,0.003611003,0.001755895,0.01460745],"study_design_scores_gemma":[0.000008829842,0.0001074378,0.5758144,0.0001162873,0.00005050362,0.0002699689,0.4173278,0.0002326772,0.0002800489,0.0004869397,0.005262528,0.0000426548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936305,0.0001349203,0.00004317773,0.001532501,0.000008828588,0.00000508426,0.00006809527,0.000001734456,0.004575172],"genre_scores_gemma":[0.9992346,0.0001347366,0.00001833777,0.0002851056,0.000003685461,0.000002826296,0.00002633429,0.000002613238,0.0002918836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1113999,"threshold_uncertainty_score":0.221503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009046763959506661,"score_gpt":0.2591528808301474,"score_spread":0.2501061168706408,"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."}}