{"id":"W4413775269","doi":"10.1007/s43681-025-00819-0","title":"An assessment of synthetic data generation, use and disclosure under Canadian privacy regulations","year":2025,"lang":"en","type":"article","venue":"AI and Ethics","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada); Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Office of the Privacy Commissioner of Canada; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Internet privacy; Business; Information privacy; Data retention; Accounting; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06988955,0.0006154921,0.0005403437,0.005596768,0.01011713,0.01449042,0.003538322,0.002259414,0.004120735],"category_scores_gemma":[0.1752516,0.0005358056,0.001350346,0.01154796,0.01064626,0.003680822,0.005263885,0.00272479,0.0004735741],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1181154,"about_ca_system_score_gemma":0.1743873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9345873,"about_ca_topic_score_gemma":0.9178312,"domain_scores_codex":[0.8766775,0.02767861,0.003295538,0.004186506,0.08107877,0.007083097],"domain_scores_gemma":[0.7971975,0.08306101,0.0110566,0.01893985,0.08534136,0.004403747],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007183225,0.0002346067,0.1490923,0.0009257733,0.0002415448,0.0008421447,0.02099713,0.03661859,0.002017377,0.595914,0.03505631,0.1573418],"study_design_scores_gemma":[0.0002245061,0.0005610093,0.285617,0.002290384,0.0004415646,0.001040253,0.03783395,0.08225044,0.008511627,0.08795616,0.4924884,0.000784702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5492665,0.004242107,0.04526832,0.04588281,0.000347584,0.002225136,0.01533996,0.0004733976,0.3369543],"genre_scores_gemma":[0.961324,0.001937226,0.01944265,0.002305923,0.00005307517,0.0004272234,0.005118369,0.0001053868,0.009286151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9301105,"threshold_uncertainty_score":0.8569914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386354598490306,"score_gpt":0.4011649542899396,"score_spread":0.262529494440909,"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."}}