{"id":"W4281253161","doi":"10.1016/j.heliyon.2022.e09458","title":"Creating standards for Canadian health data protection during health emergency – An analysis of privacy regulations and laws","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prince Sultan University","keywords":"Data Protection Act 1998; Information privacy law; Information privacy; Privacy law; European union; Government (linguistics); Business; Privacy laws of the United States; General Data Protection Regulation; Limiting; Data sharing; Privacy by Design; Internet privacy; Data Protection Directive; Computer security; Law; Privacy policy; Political science; Engineering; European Union law; Computer science; Medicine; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116325,0.00008356702,0.0002242173,0.0005244364,0.001051027,0.00007292747,0.0004824315,0.00001477225,0.00001464527],"category_scores_gemma":[0.0001477826,0.0001032789,0.00004023016,0.001121276,0.000007966863,0.0007794739,0.0003298713,0.00008925336,7.507074e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008065194,"about_ca_system_score_gemma":0.001495968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09051504,"about_ca_topic_score_gemma":0.3108364,"domain_scores_codex":[0.9984285,0.0001214153,0.0003841514,0.0004516745,0.0003232791,0.0002909778],"domain_scores_gemma":[0.9985741,0.00003344376,0.000237892,0.0008367278,0.00009686629,0.0002209765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002857026,0.0007936914,0.1136914,0.01194818,0.001578105,0.0000174069,0.09605198,0.1070412,0.004564197,0.06628991,0.0006601072,0.5970782],"study_design_scores_gemma":[0.0006362898,0.0009005537,0.3978117,0.0001797357,0.00007275109,0.000009112208,0.0007243948,0.5904422,0.0001200189,0.0003936697,0.008319736,0.0003898304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392883,0.001770344,0.4463131,0.007730143,0.000233981,0.001659575,0.002753521,0.0001649967,0.0000860095],"genre_scores_gemma":[0.9951739,0.0000569682,0.004306453,0.0001618688,0.00002289703,0.00005034672,0.0001847983,0.000009744341,0.00003306937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5966883,"threshold_uncertainty_score":0.9155413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06960113061005868,"score_gpt":0.3574895161113591,"score_spread":0.2878883855013004,"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."}}