{"id":"W2740652175","doi":"10.1109/icaict.2016.7991695","title":"Privacy protection in Nigerian E-Government systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Personally identifiable information; Scope (computer science); Government (linguistics); Business; Internet privacy; Privacy policy; Data Protection Act 1998; Information protection policy; Information privacy; Information security; Computer security; Public relations; Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008992878,0.00006977952,0.00008987958,0.0000410505,0.0002037193,0.00007896606,0.0002632615,0.00009259404,0.0001927979],"category_scores_gemma":[0.0006770383,0.00004842356,0.00002402556,0.0001828474,0.00006359744,0.0005149572,0.0001076854,0.00006182193,0.0001472578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274559,"about_ca_system_score_gemma":0.00006616722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183581,"about_ca_topic_score_gemma":0.00450064,"domain_scores_codex":[0.9987007,0.0002159601,0.0001728738,0.0002101517,0.0004526837,0.0002476365],"domain_scores_gemma":[0.9995583,0.00003200357,0.00006139526,0.0002473811,0.00002620146,0.00007471928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004515747,0.001051568,0.05978002,0.0002049363,0.00006857116,0.00003304746,0.03328311,0.000007334873,0.07274228,0.3715848,0.02112885,0.4396639],"study_design_scores_gemma":[0.00134295,0.0001591369,0.01774095,0.0001790293,0.000005926782,0.000003423097,0.006239472,0.0001006901,0.004492005,0.01458976,0.9546959,0.0004507668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.69458,0.000230473,0.08706315,0.03860003,0.004258296,0.005160735,0.0000438458,0.0007772183,0.1692863],"genre_scores_gemma":[0.996539,0.00007732261,0.0000834929,0.00004417259,0.0003016242,0.0001393083,5.325223e-7,0.000005800015,0.002808752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.933567,"threshold_uncertainty_score":0.9947445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170393664642254,"score_gpt":0.2795884859870354,"score_spread":0.2478845493406129,"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."}}