{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001591395,0.00006180412,0.00006301293,0.00004593321,0.002026962,0.0001370425,0.0001333527,0.00004484494,0.0002014154],"category_scores_gemma":[0.0004228282,0.00004849001,0.00001581283,0.0001073233,0.0002398502,0.0001787103,0.000005450711,0.00006369309,0.000001128937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216501,"about_ca_system_score_gemma":0.006966683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4660191,"about_ca_topic_score_gemma":0.9997677,"domain_scores_codex":[0.9991933,0.0001154483,0.0001391398,0.0001047011,0.0001939631,0.0002534579],"domain_scores_gemma":[0.9991317,0.0001022577,0.00006820629,0.0001230396,0.0001097764,0.0004650064],"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":[0.00000170393,0.000003403758,0.00577629,0.000001790224,0.00000757879,0.000003458865,0.00306412,1.159646e-7,0.000003335173,0.9822284,0.008158002,0.0007517757],"study_design_scores_gemma":[0.0002035482,0.0000217149,0.01896226,0.000003944521,0.000006955714,0.000002436395,0.02134675,0.00006154615,0.00006518718,0.004329489,0.9548686,0.0001276138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491089,0.0001658805,0.00001460051,0.01940159,0.0003307169,0.0003083397,0.00005672805,0.00001696098,0.03059627],"genre_scores_gemma":[0.9971815,0.000003913095,0.00005295415,0.00005986174,0.00004679878,0.000005653545,0.00001736623,0.00000393893,0.002628021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.977899,"threshold_uncertainty_score":0.9992723,"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."}}