{"id":"W2127412486","doi":"10.1109/wiiat.2008.383","title":"Privacy with Web Serivces: Intelligence Gathering and Enforcement","year":2008,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Computer science; Web service; World Wide Web; Privacy policy; Information privacy; Enforcement; Privacy software; WS-Policy; Context (archaeology); Computer security; Privacy by Design; Internet privacy; Web application security; Web development","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":[0.0000999915,0.0000535419,0.00006731124,0.00001741386,0.000361708,0.00003752119,0.0001191287,0.00002133167,0.0008738342],"category_scores_gemma":[0.00001697933,0.00003673703,0.00001056264,0.00009366235,0.0001980813,0.0002201127,0.00003437329,0.00003727615,0.00001918687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001546484,"about_ca_system_score_gemma":0.00006848125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741747,"about_ca_topic_score_gemma":0.001172062,"domain_scores_codex":[0.9994812,0.00001598486,0.0000708823,0.0001103114,0.0001624983,0.0001591445],"domain_scores_gemma":[0.9997773,0.00002963335,0.00002398756,0.00006964674,0.0000268144,0.00007263138],"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":[0.00007469321,0.00008192378,0.1921678,0.00002099584,0.00006706237,0.00005752147,0.06270143,0.000123802,0.0001086072,0.675266,0.0002854992,0.06904466],"study_design_scores_gemma":[0.001411804,0.0005054421,0.02555489,0.0001048422,0.00004881429,0.00004253669,0.04216248,0.004612194,0.001931406,0.007921076,0.9145474,0.001157135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4492398,0.0001319114,0.00534698,0.0005824165,0.00004291232,0.0001744834,3.954525e-7,0.00009561206,0.5443856],"genre_scores_gemma":[0.9933496,0.0004127916,0.0008506074,0.0001453098,0.00005638564,0.000007988314,1.347539e-7,0.000003586748,0.005173626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9142619,"threshold_uncertainty_score":0.9567872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412884812908699,"score_gpt":0.2806374874406004,"score_spread":0.2465086393115134,"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."}}