{"id":"W1778629566","doi":"","title":"AN APPRAISAL OF THE INSTITUTIONAL FRAMEWORK FOR DATA PROTECTION IN THE UK, USA, CANADA AND NIGERIA","year":2015,"lang":"en","type":"article","venue":"Journal of Asian and African Social Science and Humanities (ISSN 2413-2748)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data Protection Act 1998; Agency (philosophy); Legislation; Enforcement; Public administration; Law enforcement; Political science; Information privacy law; Business; Law; Information privacy; Privacy policy; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007272923,0.0002008233,0.0003279596,0.005426895,0.008964231,0.01208559,0.0008363803,0.001730347,0.002008997],"category_scores_gemma":[0.01862813,0.0003369035,0.0003386698,0.007696481,0.01026671,0.003163358,0.002556853,0.002640829,0.0001305796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05810795,"about_ca_system_score_gemma":0.09440283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7412304,"about_ca_topic_score_gemma":0.8053437,"domain_scores_codex":[0.9917867,0.002418714,0.0007912793,0.0003767818,0.002778094,0.00184852],"domain_scores_gemma":[0.9791449,0.009702847,0.002276644,0.0007986583,0.006437432,0.001639416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004800451,0.00004495222,0.0200913,0.0004603101,0.00001840123,0.001141131,0.01343071,0.0008474286,0.0002490804,0.9134712,0.007130296,0.04306719],"study_design_scores_gemma":[0.00004071355,0.00007793259,0.1747145,0.007909452,0.000122361,0.001122189,0.1205374,0.001745348,0.001364994,0.07129405,0.6208502,0.0002208691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3250743,0.06650862,0.006253074,0.1630269,0.001155677,0.0004654847,0.0009149008,0.00007448631,0.4365266],"genre_scores_gemma":[0.9570984,0.02760571,0.003288322,0.004111411,0.00008990437,0.0001069132,0.0001912059,0.00001960551,0.007488553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2587696,"threshold_uncertainty_score":0.5205871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09488662661292722,"score_gpt":0.3391977012321398,"score_spread":0.2443110746192126,"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."}}