{"id":"W3094550903","doi":"10.1093/oso/9780198837718.003.0006","title":"Meta regulation in data protection law: the risk-based approach","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delegation; Statute; Data Protection Act 1998; Accountability; Risk management; Scope (computer science); Business; Risk analysis (engineering); Political science; Function (biology); Law and economics; Actuarial science; Computer security; Law; Computer science; Economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05803223,0.001040167,0.001330463,0.003641718,0.004287552,0.01844216,0.005303469,0.01424712,0.004736546],"category_scores_gemma":[0.04221549,0.001258828,0.002718303,0.002417406,0.04686945,0.02304457,0.00945254,0.02411756,0.001289108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250158,"about_ca_system_score_gemma":0.01020052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004245176,"about_ca_topic_score_gemma":0.002455139,"domain_scores_codex":[0.9370755,0.03615857,0.002905009,0.004565051,0.01713774,0.00215819],"domain_scores_gemma":[0.9426706,0.0406845,0.002561744,0.006973823,0.006339026,0.0007702849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001802117,0.000004189305,0.0000270871,0.00001590297,0.000002668538,0.000013853,0.0002322764,0.0002121072,0.00003145238,0.9976577,0.0006701159,0.001130945],"study_design_scores_gemma":[0.000008309171,0.00001694843,0.00006403582,0.0003195528,0.000008929746,0.00004578647,0.0001921592,0.00124269,0.0001807184,0.9594626,0.03843834,0.00001996706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006869778,0.01260661,0.5377461,0.1613339,0.002452705,0.0002964228,0.0001235533,0.0003252839,0.2782456],"genre_scores_gemma":[0.6782063,0.01117466,0.1850004,0.06759285,0.007100684,0.001705123,0.000132108,0.0004912534,0.0485966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05803223,"threshold_uncertainty_score":0.3069074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3590182269235872,"score_gpt":0.3352411077949509,"score_spread":0.02377711912863628,"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."}}