{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04506656,0.00136204,0.002353851,0.003977066,0.005186961,0.01880308,0.004194893,0.01634059,0.02500984],"category_scores_gemma":[0.1101376,0.001557359,0.002310385,0.004811001,0.01203711,0.01659236,0.01564958,0.01268989,0.02725933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004299627,"about_ca_system_score_gemma":0.02121623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833314,"about_ca_topic_score_gemma":0.002290518,"domain_scores_codex":[0.9283563,0.02826197,0.006961904,0.00624683,0.02582842,0.004344496],"domain_scores_gemma":[0.8896003,0.04671162,0.005597816,0.0431156,0.01201524,0.002959521],"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":[0.00005740047,0.00007062089,0.001067677,0.0006240953,0.00007361669,0.0003678235,0.004253191,0.000698633,0.001380062,0.7354836,0.1352652,0.1206581],"study_design_scores_gemma":[0.00002181915,0.00004080111,0.0005144886,0.0009164362,0.00003253088,0.0004572461,0.0005951152,0.0004024614,0.001135982,0.1295802,0.8662602,0.00004272248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00464197,0.01679618,0.125595,0.09798571,0.003911662,0.0009409551,0.002456318,0.00151327,0.746159],"genre_scores_gemma":[0.3097749,0.05433397,0.1404889,0.1718734,0.01124854,0.004612892,0.009541256,0.002182219,0.2959439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04506656,"threshold_uncertainty_score":0.2383376,"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."}}