{"id":"W645362015","doi":"10.1016/j.clsr.2015.05.010","title":"Two concepts of privacy","year":2015,"lang":"en","type":"article","venue":"Computer law & security review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Harm; Privacy policy; Personally identifiable information; Internet privacy; Privacy by Design; Information privacy; Privacy law; Damages; The Right to Privacy; Privacy laws of the United States; Statute; Information privacy law; Law; Political science; Computer science; Human rights","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":[0.001750358,0.0001461844,0.0004489334,0.00002329661,0.0001870944,0.00005980878,0.0009279634,0.00007292371,0.0001074247],"category_scores_gemma":[0.000323599,0.0001383601,0.0001352742,0.000336739,0.0003925127,0.0004770498,0.0005493579,0.0001886484,0.0001363234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007554168,"about_ca_system_score_gemma":0.0002066517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002774862,"about_ca_topic_score_gemma":0.0006002373,"domain_scores_codex":[0.9978859,0.0006324576,0.0004113868,0.0002990617,0.0004810608,0.000290093],"domain_scores_gemma":[0.9985056,0.00007629712,0.0002161766,0.0006270219,0.0003091868,0.0002657148],"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":[0.00001238339,0.000255628,0.000265043,0.00182482,0.00003960194,0.00001069889,0.01146492,7.572052e-7,0.000005417384,0.843415,0.09206633,0.05063938],"study_design_scores_gemma":[0.0003619118,0.00006367959,0.00001996879,0.0009944753,0.00003414085,0.000004454895,0.00005341567,0.00005564509,0.00003546905,0.03852057,0.9596854,0.0001708177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01433774,0.7385742,0.01493937,0.02182023,0.006601756,0.006173024,0.0001333325,0.001005877,0.1964145],"genre_scores_gemma":[0.9070348,0.07499852,0.008041919,0.007403253,0.002269891,0.00006324056,0.00007833554,0.0000315953,0.00007845268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.892697,"threshold_uncertainty_score":0.5642161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07035984786143314,"score_gpt":0.3788272074990175,"score_spread":0.3084673596375844,"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."}}