{"id":"W1995412001","doi":"10.4018/jsse.2010040102","title":"Towards Designing E-Services that Protect Privacy","year":2010,"lang":"en","type":"article","venue":"International Journal of Secure Software Engineering","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Privacy by Design; Personally identifiable information; Dimension (graph theory); Computer security; Service (business); Internet privacy; Unified Modeling Language; Risk analysis (engineering); Business; Software; Marketing","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":[0.0009667233,0.0001350161,0.0001576215,0.0002710046,0.0001473119,0.0002601243,0.001305711,0.0001452922,0.0001365704],"category_scores_gemma":[0.001963219,0.0001302319,0.0001218812,0.0001338651,0.00004542464,0.001111588,0.0001392561,0.000698523,0.000008228789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180166,"about_ca_system_score_gemma":0.0001884249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002906046,"about_ca_topic_score_gemma":0.0001217834,"domain_scores_codex":[0.9984075,0.00004060624,0.0003002804,0.0001357617,0.0008840737,0.0002318067],"domain_scores_gemma":[0.9988584,0.0001163029,0.0002768307,0.0001444771,0.0004528801,0.0001511085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074164,0.001278114,0.09307188,0.0009557725,0.003201197,0.001665336,0.2187176,0.00503643,0.2904257,0.05159752,0.006828307,0.3261479],"study_design_scores_gemma":[0.002721484,0.0003002605,0.02722969,0.001229465,0.0001211442,0.0007008701,0.00366609,0.001467551,0.0555165,0.01566957,0.8900009,0.001376414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6653914,0.000455174,0.317102,0.003454596,0.01232853,0.000415294,0.00002912138,0.0003331417,0.0004907532],"genre_scores_gemma":[0.9523135,0.00008887189,0.04527346,0.00006659609,0.002209603,0.000006970191,0.000004854038,0.00001979339,0.00001639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8831726,"threshold_uncertainty_score":0.5310705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538831848479767,"score_gpt":0.2806026593912168,"score_spread":0.2652143409064192,"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."}}