{"id":"W3015702326","doi":"","title":"An analysis of the adequacy of the Canadian privacy framework under the General Data Protection Regulation","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Data Protection Act 1998; Information privacy; Computer security; Business; Information privacy law; Internet privacy; Computer science; Risk analysis (engineering); Privacy by Design","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":[0.0006280281,0.0001323366,0.0002616142,0.000208881,0.001575603,0.00004933704,0.002992215,0.0003662551,0.0000311984],"category_scores_gemma":[0.0003869968,0.0001052925,0.0001972644,0.001821435,0.0003397035,0.0004499951,0.0003036498,0.0004523675,0.000001918629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069661,"about_ca_system_score_gemma":0.0008499591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7922563,"about_ca_topic_score_gemma":0.9980514,"domain_scores_codex":[0.9979466,0.0006797801,0.0001541847,0.0003352088,0.0007050179,0.0001791787],"domain_scores_gemma":[0.9973676,0.00005366183,0.0007013361,0.001540627,0.0002555586,0.00008126839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001599645,0.001024729,0.2387182,0.001556342,0.009132573,0.000007683415,0.3108594,0.01153834,0.009736675,0.3722742,0.01851943,0.0250328],"study_design_scores_gemma":[0.0001149402,0.00003161613,0.9030325,0.00008295893,0.001307514,1.267161e-7,0.07667802,0.00628874,0.0002423525,0.004632356,0.007430887,0.0001580201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738632,0.00009021451,0.002981086,0.01855355,0.0008398029,0.001549307,0.0004297005,0.00003473211,0.001658355],"genre_scores_gemma":[0.9988205,0.00005297835,0.000279432,0.00003987836,0.0001291176,8.934791e-7,0.0004732528,0.000009685337,0.0001942607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6643143,"threshold_uncertainty_score":0.9997242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04662476396696256,"score_gpt":0.2799918839454784,"score_spread":0.2333671199785159,"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."}}