{"id":"W2789061370","doi":"10.5539/cis.v11n1p90","title":"Enhancing Big Data Auditing","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Audit; Big data; Scheme (mathematics); Retrievability; Data integrity; Possession (linguistics); Database; Data mining; Information retrieval; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01199302,0.0006646678,0.0009592939,0.001666854,0.001306733,0.003949151,0.002713595,0.0015725,0.002243795],"category_scores_gemma":[0.03635102,0.0005315256,0.0008658873,0.002187183,0.002136636,0.01148493,0.006488261,0.002384871,0.0005775988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471755,"about_ca_system_score_gemma":0.003669793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006989997,"about_ca_topic_score_gemma":0.0005374682,"domain_scores_codex":[0.9841813,0.007235395,0.001101898,0.00138158,0.004793488,0.001306317],"domain_scores_gemma":[0.9440327,0.01893858,0.004305985,0.02658938,0.005090212,0.00104309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001432039,0.0005256059,0.01057282,0.001861165,0.0001810337,0.0004524059,0.001300392,0.05964578,0.02586734,0.4507815,0.00700196,0.440378],"study_design_scores_gemma":[0.0001668038,0.0007499609,0.004299625,0.0006917386,0.0001944489,0.002296463,0.001060432,0.4841053,0.08690812,0.3633389,0.05604312,0.0001450276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07751606,0.002911019,0.8984599,0.002453656,0.0004007351,0.000603681,0.0003700794,0.002151868,0.015133],"genre_scores_gemma":[0.8129591,0.001531198,0.181362,0.0003395151,0.0001716893,0.000196266,0.0002740365,0.0001271045,0.003038942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01199302,"threshold_uncertainty_score":0.0634259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05119306095393634,"score_gpt":0.2866020557189505,"score_spread":0.2354089947650142,"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."}}