{"id":"W6893679483","doi":"10.5281/zenodo.4564856","title":"Model Driven Engineering for Data Protection and Privacy: Application and Experience with GDPR -- Appendix","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Data Protection Act 1998; Data modeling; Control (management); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002203895,0.000708891,0.0005158753,0.00122625,0.0004548409,0.001940748,0.001048879,0.001194963,0.1571395],"category_scores_gemma":[0.009083406,0.0004517975,0.000495398,0.002283189,0.0004409804,0.001929425,0.001569938,0.001118907,0.04550765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304996,"about_ca_system_score_gemma":0.001808645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005267949,"about_ca_topic_score_gemma":0.003265524,"domain_scores_codex":[0.9985406,0.000386107,0.00007863111,0.0001265156,0.0008184272,0.00004973064],"domain_scores_gemma":[0.9944245,0.002713646,0.0001075392,0.0007286949,0.001905967,0.0001197342],"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":[0.000147085,0.0002004127,0.000270551,0.0006058331,0.00001713133,0.0002548067,0.0001960479,0.01604046,0.003438683,0.130179,0.6069658,0.2416843],"study_design_scores_gemma":[0.00006292514,0.00005263462,0.000338365,0.0001480394,0.000008182138,0.0002989169,0.00006218937,0.03028926,0.003943644,0.04315476,0.921602,0.00003915664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003775005,0.001436875,0.5856978,0.00568409,0.002169726,0.0008353111,0.02531391,0.01516525,0.3599221],"genre_scores_gemma":[0.04972925,0.003298558,0.4222378,0.001614581,0.0005156723,0.000891006,0.03517352,0.01038995,0.4761498],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1571395,"threshold_uncertainty_score":0.5256839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06393675603929633,"score_gpt":0.2620256272135211,"score_spread":0.1980888711742248,"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."}}