{"id":"W3027282887","doi":"10.1109/tsc.2020.2996382","title":"Joint Pricing and Security Investment in Cloud Security Service Market With User Interdependency","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Information and Cyber Security","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"Nanyang Technological University; National Research Foundation","keywords":"Cloud computing security; Cloud computing; Computer security; Stackelberg competition; Computer science; Security service; Service (business); Security controls; Business; Information security; Control (management); Economics; Marketing","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":[0.0003680803,0.0002911277,0.0003040536,0.0001723759,0.0002597946,0.0002882121,0.0005673029,0.00009791475,0.00002875071],"category_scores_gemma":[0.000001599636,0.0002729482,0.00005369495,0.0009358049,0.00002632471,0.001028185,0.00004092663,0.0005970098,0.00002954498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007904526,"about_ca_system_score_gemma":0.00006146559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003912189,"about_ca_topic_score_gemma":0.00143424,"domain_scores_codex":[0.9980475,0.0001529235,0.000504673,0.0005328113,0.0003939199,0.0003681921],"domain_scores_gemma":[0.9990128,0.00007838182,0.0001830932,0.0003658301,0.0001231155,0.0002368099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007638654,0.001565667,0.00341648,0.006683938,0.0004827696,0.0002820638,0.8248112,0.08004802,0.0005864822,0.04138933,0.0004301012,0.03954006],"study_design_scores_gemma":[0.001267428,0.0001933104,0.001115075,0.00033656,0.00001577899,0.00004096907,0.002158903,0.9903776,0.00269862,0.0007516645,0.0006031274,0.0004409841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4303569,0.00003743046,0.5626792,0.002842139,0.0003256278,0.0004093864,0.000006873745,0.0003289821,0.003013479],"genre_scores_gemma":[0.9810939,0.0000100488,0.004851329,0.0139681,0.00004666093,0.000008858193,0.000001733828,0.00001446518,0.000004908394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9103296,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212346970754298,"score_gpt":0.2148862405040923,"score_spread":0.2027627707965494,"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."}}