{"id":"W2981440830","doi":"10.1093/idpl/ipz019","title":"The trouble with Article 25 (and how to fix it): the future of data protection by design and default","year":2019,"lang":"en","type":"article","venue":"International Data Privacy Law","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General Data Protection Regulation; Data Protection Act 1998; Data Protection Directive; Safeguarding; Directive; Privacy by Design; Privacy policy; Information privacy law; Obligation; Computer security; Information privacy; FTC Fair Information Practice; European union; Internet privacy; Privacy law; Computer science; Business; Political science; Law; European Union law","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":[0.001445035,0.00008558034,0.00008086438,0.00002036511,0.0004697168,0.0004265427,0.002396299,0.00004984042,0.00002671349],"category_scores_gemma":[0.0004094842,0.00005110605,0.00000788694,0.0001284599,0.0002276912,0.001786778,0.001702861,0.0001461543,0.0000127261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003041813,"about_ca_system_score_gemma":0.00005775347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057191,"about_ca_topic_score_gemma":0.003835549,"domain_scores_codex":[0.9987144,0.0001886828,0.0001223425,0.0003585986,0.0004560727,0.0001598493],"domain_scores_gemma":[0.9983237,0.0002096969,0.0001047774,0.001196862,0.0001053407,0.00005964804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001793158,0.0003483121,0.004853158,0.00008041632,0.0005148473,0.000004416393,0.01022408,0.0000292977,0.01069976,0.3713737,0.3901537,0.2099252],"study_design_scores_gemma":[0.0003779207,0.00007419876,0.0007237201,0.00002119997,0.00001477327,0.000005696777,0.001367356,0.002688528,0.0005445039,0.003352955,0.9907361,0.0000930198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1712744,0.001797265,0.1217868,0.6875626,0.001940057,0.006372715,0.003215861,0.0001621655,0.005888104],"genre_scores_gemma":[0.9952015,0.000380356,0.002871283,0.0004127476,0.0003308874,0.00003749678,0.0002617018,0.000009995674,0.0004939827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8239272,"threshold_uncertainty_score":0.4621579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132499889949398,"score_gpt":0.3174163495289441,"score_spread":0.2660913506294501,"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."}}