{"id":"W1551494271","doi":"","title":"Protecting Information Privacy","year":2011,"lang":"en","type":"article","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Information privacy law; Information privacy; Personally identifiable information; Commission; Privacy law; Privacy policy; Legislature; FTC Fair Information Practice; Business; Government (linguistics); Privacy by Design; Principal (computer security); State (computer science); Data Protection Act 1998; Human rights; Fundamental rights; Right to privacy; Political science; Law; Computer security; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006490018,0.0001538389,0.0002429649,0.0008842155,0.002354641,0.00008878189,0.00160185,0.0002572813,0.008548061],"category_scores_gemma":[0.004148247,0.0001860484,0.0001287524,0.001517622,0.001024555,0.004759649,0.001083709,0.0009260327,0.00006568823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003009573,"about_ca_system_score_gemma":0.0004646342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01486505,"about_ca_topic_score_gemma":0.0003046597,"domain_scores_codex":[0.9965725,0.0004281381,0.0002569038,0.0003409169,0.001581559,0.0008199678],"domain_scores_gemma":[0.9974487,0.0002702275,0.000206396,0.000608498,0.001092342,0.0003738048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000570681,0.0003533542,0.00309584,0.00005181052,0.00009703579,0.00003329245,0.6984302,0.00000198814,0.0007647551,0.00691332,0.2336842,0.05600356],"study_design_scores_gemma":[0.001124764,0.000406597,0.00183324,0.0001465115,0.00002764342,0.000002962394,0.3304514,0.0002493775,0.001364412,0.06091436,0.6030228,0.0004559272],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277629,0.0002646346,0.02979061,0.006866235,0.00281071,0.004345378,0.00006129395,0.0008343856,0.3272639],"genre_scores_gemma":[0.994997,0.0005243126,0.002761382,0.00002517329,0.0006272348,0.00001114189,0.0000222788,0.0000104655,0.001021074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3693386,"threshold_uncertainty_score":0.9989442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715499577977953,"score_gpt":0.3383634131554861,"score_spread":0.1668134553576908,"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."}}