{"id":"W32410973","doi":"10.3389/fnhum.2020.00149","title":"Comparative data protection and security : a critical evaluation of legal standards","year":2014,"lang":"en","type":"dissertation","venue":"Frontiers in Human Neuroscience","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; U.S. Environmental Protection Agency; York University; U.S. Department of Health and Human Services","keywords":"Data Protection Act 1998; Computer security; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.6084003,0.0009870831,0.003174814,0.01235418,0.005539111,0.009735957,0.006846492,0.006435404,0.007133698],"category_scores_gemma":[0.750859,0.001544478,0.002681118,0.008710767,0.02238727,0.01358166,0.0115711,0.009411216,0.001174734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006698731,"about_ca_system_score_gemma":0.02756145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104302,"about_ca_topic_score_gemma":0.002108857,"domain_scores_codex":[0.3824965,0.4413419,0.07214461,0.01363002,0.0869512,0.003435775],"domain_scores_gemma":[0.142737,0.6328666,0.02766787,0.09306712,0.09783502,0.005826248],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003997721,0.0004373897,0.02366917,0.008559886,0.001202107,0.001543546,0.01757352,0.001988886,0.002416808,0.3633788,0.03485877,0.5403735],"study_design_scores_gemma":[0.001310218,0.004257112,0.04010252,0.050773,0.001542257,0.007128699,0.01876098,0.02155264,0.009218954,0.3223944,0.5222294,0.0007297799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07784162,0.04076926,0.6108227,0.1420563,0.01188153,0.02516914,0.00199693,0.001532085,0.08793033],"genre_scores_gemma":[0.3959715,0.007122038,0.553861,0.01752339,0.002552594,0.01816967,0.0006292454,0.0006765378,0.003494017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6084003,"threshold_uncertainty_score":0.4829121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149953377512818,"score_gpt":0.4500628634117624,"score_spread":0.3001094858989444,"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."}}