{"id":"W2336937760","doi":"","title":"Reviewing PIPEDA: Control, Privacy and the Limits of Fair Information Practices","year":2006,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Personally identifiable information; FTC Fair Information Practice; Entitlement (fair division); Privacy policy; Privacy by Design; Internet privacy; Information privacy law; Information privacy; Scope (computer science); Control (management); Business; 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"],"consensus_categories":[],"category_scores_codex":[0.0006484113,0.0000501503,0.0001734931,0.00001334027,0.0003609329,0.00002089513,0.0002089787,0.00005200941,0.0004784508],"category_scores_gemma":[0.0001564177,0.00004122949,0.00005684466,0.00004653159,0.002854406,0.001995825,0.00003200493,0.00004108761,0.000003986615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006010803,"about_ca_system_score_gemma":0.00006021666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2273591,"about_ca_topic_score_gemma":0.0565016,"domain_scores_codex":[0.9993696,0.0001557183,0.00008789298,0.00006398303,0.0002135913,0.0001092107],"domain_scores_gemma":[0.999018,0.0002014401,0.0005091309,0.0001168181,0.0001231746,0.00003141496],"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":[0.0001716849,0.00003548836,0.001800564,0.00007580512,0.00004319473,9.201176e-7,0.1061095,0.000006067744,0.00006023526,0.8666931,0.001512751,0.02349065],"study_design_scores_gemma":[0.008981275,0.000185228,0.1301487,0.0002011965,0.0005514718,0.000002320072,0.1952057,0.0006179822,0.00004528238,0.004187271,0.6594456,0.0004279005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1622199,0.008223363,0.02505268,0.02313056,0.0003010425,0.001125274,0.00001511566,0.00008858006,0.7798435],"genre_scores_gemma":[0.9959115,0.002095543,0.000419184,0.00003231635,0.00005054997,1.373317e-7,0.000001487546,0.000001399934,0.001487825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8625059,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417420621057096,"score_gpt":0.2679656003852986,"score_spread":0.2437913941747276,"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."}}