{"id":"W3121471626","doi":"10.1016/j.clsr.2020.105524","title":"South Africa's PNR regime: Privacy and data protection","year":2021,"lang":"en","type":"article","venue":"Computer law & security review","topic":"Legal Issues in South Africa","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Government (linguistics); Political science; State (computer science); Data Protection Act 1998; International trade; Business; Geography; Law; Computer 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":[0.001166537,0.0001636089,0.0003969186,0.00001434683,0.0004522914,0.0002600735,0.0008345182,0.0000982778,0.0001465383],"category_scores_gemma":[0.0003311662,0.0001557361,0.00006910834,0.0005025936,0.000312887,0.0004853964,0.001213145,0.0002935283,0.0001335158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983519,"about_ca_system_score_gemma":0.0001517244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020719,"about_ca_topic_score_gemma":0.0001370377,"domain_scores_codex":[0.9975744,0.0006869641,0.0003134649,0.0006661072,0.0004166028,0.0003424512],"domain_scores_gemma":[0.9981816,0.00007491033,0.0001410329,0.001220788,0.000186648,0.0001950218],"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":[0.00001235879,0.0003791066,0.0002446399,0.007929898,0.0001760593,0.000242339,0.3049047,5.825775e-7,0.000009927885,0.4397659,0.07309999,0.1732345],"study_design_scores_gemma":[0.0001084861,0.00001621484,0.00001205327,0.001140459,0.00006086525,0.000006908823,0.0000843462,0.0001134168,0.000004466965,0.003179228,0.9950824,0.0001911255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0005941399,0.8913192,0.005954158,0.01749419,0.001504159,0.002397873,0.00008510839,0.0005474843,0.08010375],"genre_scores_gemma":[0.8701183,0.09019689,0.02617249,0.007192187,0.003803282,0.0001275544,0.0001594398,0.00008100824,0.002148799],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9219825,"threshold_uncertainty_score":0.6350733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049200405618141,"score_gpt":0.3492199966627759,"score_spread":0.2587279926065945,"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."}}