{"id":"W7061900355","doi":"","title":"Security and Privacy Analysis of Employee Monitoring Applications","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Certificate; Dashboard; Information privacy; Cloud computing; Software deployment; Work (physics); Data Protection Act 1998; Data security; Asset (computer security)","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":[0.007458267,0.000545877,0.0004817076,0.001484224,0.001183476,0.003760375,0.001158669,0.001029847,0.001334333],"category_scores_gemma":[0.02620766,0.0003684342,0.0007893205,0.001122289,0.0009750465,0.002947767,0.001355987,0.00155032,0.0005359256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610297,"about_ca_system_score_gemma":0.002334009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434618,"about_ca_topic_score_gemma":0.001447532,"domain_scores_codex":[0.9841929,0.004348013,0.001008403,0.001504277,0.007627173,0.001319242],"domain_scores_gemma":[0.9720387,0.01114961,0.003450637,0.007549524,0.00542165,0.0003898164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003202033,0.001287439,0.1856138,0.001116423,0.0004323646,0.002584939,0.005290563,0.07400203,0.09476079,0.135685,0.02535275,0.4706718],"study_design_scores_gemma":[0.00007872942,0.0007510849,0.07359585,0.0003956735,0.0002054455,0.001272821,0.0013813,0.7449909,0.08281589,0.05307303,0.04129868,0.0001405246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7624471,0.001931218,0.1935373,0.003250573,0.0001983753,0.0009494902,0.001710135,0.005737488,0.03023829],"genre_scores_gemma":[0.9620296,0.0003402909,0.03236073,0.0003782433,0.00005506213,0.0002505071,0.0008279229,0.00018239,0.003575249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007458267,"threshold_uncertainty_score":0.03944355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452309482549205,"score_gpt":0.269100426453121,"score_spread":0.254577331627629,"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."}}