{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02753367,0.0009233746,0.0009448347,0.002518708,0.006266834,0.01697249,0.002233436,0.009024756,0.008888218],"category_scores_gemma":[0.03476547,0.0006994415,0.001488506,0.002964978,0.05600566,0.0212499,0.01167943,0.007731864,0.002748634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006981777,"about_ca_system_score_gemma":0.009169454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004567217,"about_ca_topic_score_gemma":0.002382768,"domain_scores_codex":[0.9539791,0.03027831,0.002114889,0.004270677,0.007032143,0.002324877],"domain_scores_gemma":[0.9576924,0.02596376,0.002367985,0.01004311,0.002839442,0.0010932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004421202,0.000003695969,0.00006491588,0.00003718244,0.000003645362,0.00004228695,0.0009490184,0.0001040988,0.00003549815,0.9924921,0.001656804,0.004606403],"study_design_scores_gemma":[0.000009936745,0.00001844847,0.00009651791,0.0002591785,0.00000786734,0.0003128839,0.0007913215,0.0003274717,0.0003727925,0.8331529,0.1646306,0.00002002968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008772124,0.02205185,0.3024874,0.08949923,0.001720883,0.0002388112,0.0003232662,0.0003833931,0.574523],"genre_scores_gemma":[0.6591791,0.01763571,0.1471326,0.03953911,0.002387661,0.001463448,0.0006640788,0.000721264,0.131277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02753367,"threshold_uncertainty_score":0.1456137,"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."}}