{"id":"W2996531926","doi":"","title":"Forensic Analysis in Access Control: a Case-Study of a Cloud Application","year":2019,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Cloud computing; Computer security; Computer science; Access control; Forensic science; Data science; Internet privacy; Geography; Operating system; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001307749,0.0001917557,0.0006435748,0.0007098587,0.00005080673,0.00004814758,0.001011834,0.0001504647,0.000005715606],"category_scores_gemma":[0.000004055818,0.0002124925,0.0002195933,0.001413995,0.00004081066,0.0005855112,0.0001601273,0.0001405899,0.000009488367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004710972,"about_ca_system_score_gemma":0.00006460508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1329468,"about_ca_topic_score_gemma":0.3707841,"domain_scores_codex":[0.99876,0.00005124031,0.0002063966,0.0004720344,0.0003199629,0.0001903833],"domain_scores_gemma":[0.9985471,0.0000420173,0.0004538643,0.0006716286,0.0002324769,0.00005286989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006890724,0.003023911,0.1184787,0.0009292316,0.004149096,0.002096591,0.7473683,0.007809047,0.0004394181,0.007316698,0.0004842231,0.1072156],"study_design_scores_gemma":[0.008470752,0.001465314,0.1169628,0.0002475543,0.003601039,0.00007506664,0.7443089,0.1203586,0.0006629417,0.002136888,0.00009418581,0.001615872],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969153,0.00001989241,0.001902544,0.00005973548,0.0001461269,0.0005371204,0.00002061549,0.00003144475,0.0003672546],"genre_scores_gemma":[0.9835166,0.000003895908,0.0002843361,0.000007052149,0.000007565965,0.000001095661,0.0001012871,0.000008299146,0.01606981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378373,"threshold_uncertainty_score":0.872827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009578297331653846,"score_gpt":0.2163532204602191,"score_spread":0.2067749231285652,"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."}}