{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01210685,0.001260711,0.0005470059,0.001204157,0.001382475,0.005720429,0.001818903,0.004733672,0.001798993],"category_scores_gemma":[0.01727565,0.00146913,0.001664814,0.00088664,0.003292063,0.008349554,0.003657094,0.003623678,0.0009492835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726697,"about_ca_system_score_gemma":0.005015893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147138,"about_ca_topic_score_gemma":0.00193263,"domain_scores_codex":[0.987547,0.005973422,0.0009848406,0.0007530962,0.004036417,0.0007052374],"domain_scores_gemma":[0.9900295,0.004098186,0.0009574376,0.001955185,0.002441208,0.0005185498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001355849,0.0003684143,0.003795278,0.00119017,0.0001784972,0.0006776822,0.006409388,0.05264748,0.03020683,0.7823338,0.003124442,0.1189324],"study_design_scores_gemma":[0.000193259,0.0003488307,0.001095021,0.0009969558,0.0003072756,0.001427943,0.003911399,0.2410419,0.04356923,0.488628,0.2183641,0.0001162293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01124446,0.0003122637,0.9800294,0.001855412,0.00005053599,0.0002892805,0.00002295681,0.0003492994,0.005846432],"genre_scores_gemma":[0.101727,0.0007281447,0.8930256,0.0005675736,0.00003353268,0.0003260128,0.00009679639,0.0001347702,0.003360459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01210685,"threshold_uncertainty_score":0.06402791,"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."}}