{"id":"W1968488002","doi":"10.1111/j.1754-7121.2003.tb00913.x","title":"The privacy commissioner of Canada: Multiple roles, diverse expectations and structural dilemmas","year":2003,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Ombudsman and Human Rights","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Privacy policy; Legislation; Political science; Data Protection Act 1998; Information privacy; Privacy law; Privacy by Design; Anticipation (artificial intelligence); The Right to Privacy; Privacy protection; Business; Law; Law and economics; Public administration; Internet privacy; Sociology; Computer science; Human rights","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02252498,0.0005580112,0.0005915609,0.002978463,0.07750835,0.03266318,0.004452527,0.0150397,0.009006093],"category_scores_gemma":[0.04027775,0.0009803692,0.0005618929,0.003996258,0.03745631,0.008803833,0.0102142,0.01046842,0.0006963859],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2080603,"about_ca_system_score_gemma":0.2893988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740588,"about_ca_topic_score_gemma":0.9795405,"domain_scores_codex":[0.9613227,0.01021255,0.0007867099,0.002653969,0.01191594,0.01310801],"domain_scores_gemma":[0.9603217,0.01344078,0.00167156,0.0008482203,0.01093184,0.0127859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007698574,0.00004414052,0.00803043,0.0001147699,0.00003072323,0.00274788,0.1008299,0.001153973,0.0003370616,0.7497737,0.1054735,0.03138687],"study_design_scores_gemma":[0.00007765336,0.00004504255,0.01148527,0.0008035127,0.00006854558,0.000999582,0.3481328,0.003855923,0.0007136204,0.1601039,0.473287,0.000427032],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09349291,0.003607209,0.003837571,0.71039,0.0006127516,0.0001167548,0.0001582418,0.00008528923,0.1876992],"genre_scores_gemma":[0.9388072,0.001667727,0.002490093,0.03082817,0.0001513205,0.00005573537,0.00005623522,0.00007019079,0.02587325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2080603,"threshold_uncertainty_score":0.9185378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576048862781449,"score_gpt":0.26089804090367,"score_spread":0.2351375522758555,"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."}}