{"id":"W3031088165","doi":"","title":"Privacy by Design and Language Resources.","year":2020,"lang":"en","type":"article","venue":"Publication Server of the Institute for German Language (Institute for German Language)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy by Design; General Data Protection Regulation; Computer science; Information privacy; Obligation; Privacy policy; Directive; Context (archaeology); Data Protection Act 1998; Data Protection Directive; Computer security; Privacy software; Internet privacy; Business; European union; Law; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004707414,0.0004100672,0.0004513363,0.0001312049,0.000336904,0.0004738278,0.002333035,0.00015891,0.00001317706],"category_scores_gemma":[0.0003475577,0.000328356,0.0003054437,0.0006885804,0.0003596716,0.00257302,0.0007053885,0.0002059243,0.00002142874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006823771,"about_ca_system_score_gemma":0.0001495853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002335491,"about_ca_topic_score_gemma":0.00007118083,"domain_scores_codex":[0.9974833,0.00006372734,0.0006525201,0.0007659534,0.0004945048,0.0005399567],"domain_scores_gemma":[0.9975547,0.000104895,0.0004851139,0.001270111,0.0002669661,0.0003181931],"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":[0.0004941645,0.0008352758,0.0002435728,0.00244623,0.0008257289,0.00006329301,0.1895861,0.001150388,0.06563408,0.2629112,0.3067045,0.1691055],"study_design_scores_gemma":[0.004897912,0.0004232215,0.0007615252,0.000200754,0.0002361858,0.0001015495,0.0007592578,0.02802545,0.1170329,0.001795012,0.8440928,0.001673506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5350415,0.002182386,0.4402912,0.01495919,0.0009185922,0.003508433,0.001310273,0.0006787869,0.001109595],"genre_scores_gemma":[0.9497592,0.00001636527,0.03831794,0.006257397,0.0004883967,0.0003634906,0.001293333,0.000078681,0.00342521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5373883,"threshold_uncertainty_score":0.9999169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811132151252447,"score_gpt":0.2618667798833289,"score_spread":0.2437554583708044,"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."}}