{"id":"W2911812906","doi":"10.3166/isi.23.5.201-212","title":"Mining user actions with fuzzy related data security conviction in cloud computing","year":2018,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Conviction; Computer science; Computer security; Fuzzy logic; Internet privacy; Operating system; Artificial intelligence; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008576897,0.0001806619,0.0002015108,0.000420013,0.0003782924,0.0003575434,0.0009967099,0.0001313,0.000006545468],"category_scores_gemma":[0.0004677794,0.0001698615,0.00001999006,0.001480241,0.0001718055,0.009785759,0.0006179067,0.0002324908,0.0000589807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307792,"about_ca_system_score_gemma":0.000108764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008194056,"about_ca_topic_score_gemma":0.00009125791,"domain_scores_codex":[0.9982627,0.00008703372,0.0006792736,0.0003051884,0.0003486061,0.0003171832],"domain_scores_gemma":[0.9977793,0.0001833683,0.0004647816,0.001098839,0.0004128846,0.00006089206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002243332,0.0001898107,0.01909973,0.0002540149,0.0001268945,0.00004309112,0.08986173,0.004737431,0.0003525502,0.1840573,0.006048151,0.695005],"study_design_scores_gemma":[0.001245463,0.0004944623,0.01503213,0.001317341,0.00001920036,0.0004596051,0.002230741,0.8811747,0.002094467,0.07785231,0.01720894,0.0008706538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1820912,0.00001349956,0.8098489,0.00008187335,0.0004252572,0.0002658068,0.00000654625,0.000704654,0.006562328],"genre_scores_gemma":[0.8354984,0.000005323226,0.1642449,0.00010704,0.00006370863,0.00000861471,0.00005449102,0.000009268219,0.000008184642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8764372,"threshold_uncertainty_score":0.7094439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996741466238855,"score_gpt":0.2942654185903433,"score_spread":0.2642980039279547,"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."}}