{"id":"W3004247181","doi":"10.1109/mce.2019.2954762","title":"Privacy and Security by Design","year":2020,"lang":"en","type":"article","venue":"IEEE Consumer Electronics Magazine","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algonquin College; Telus (Canada)","funders":"","keywords":"Privacy by Design; Cover (algebra); Computer science; Computer security; Special section; Internet privacy; Information privacy; Section (typography); Design elements and principles; Engineering; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962753,0.0001704746,0.000207061,0.0000377053,0.000431003,0.0001460274,0.0004453065,0.0001419626,0.000131466],"category_scores_gemma":[0.000724836,0.0001851349,0.00004016642,0.0003392027,0.0002537769,0.000386532,0.0001201507,0.0003955915,0.0001992291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009986844,"about_ca_system_score_gemma":0.0003317705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007371,"about_ca_topic_score_gemma":0.0002394845,"domain_scores_codex":[0.99818,0.0003220912,0.0002052689,0.0004184765,0.0003075463,0.0005665779],"domain_scores_gemma":[0.9991316,0.0001317399,0.00009113605,0.0002500945,0.0000854977,0.0003099409],"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":[0.0004263102,0.0003114711,0.002052026,0.000127402,0.0001987134,0.00002464379,0.01993478,0.000003850099,0.05592179,0.01754668,0.8577538,0.0456986],"study_design_scores_gemma":[0.0006609731,0.0001858887,0.0000626762,0.000006794718,0.00004355152,0.000003855384,0.0000847988,0.0006257833,0.005881949,0.01530314,0.9768267,0.0003138506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5156173,0.1203203,0.1681699,0.1588702,0.002065444,0.006749117,0.0004123811,0.002869506,0.02492583],"genre_scores_gemma":[0.9905332,0.006998148,0.0005969605,0.001343476,0.0002452042,0.00003217821,0.00002274714,0.00002418254,0.0002038481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.474916,"threshold_uncertainty_score":0.7549582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894530805089661,"score_gpt":0.2832808690995305,"score_spread":0.2543355610486339,"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."}}