{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01570657,0.0007840609,0.001150352,0.002665969,0.002981926,0.0118732,0.002324233,0.003007744,0.001973626],"category_scores_gemma":[0.04557933,0.001098061,0.001570616,0.001880282,0.006979251,0.01448155,0.007639364,0.005185163,0.0008277738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002092,"about_ca_system_score_gemma":0.00342373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004461555,"about_ca_topic_score_gemma":0.002239508,"domain_scores_codex":[0.9737192,0.009068506,0.002694847,0.003009175,0.01020508,0.001303192],"domain_scores_gemma":[0.9464774,0.02128849,0.006744997,0.01970763,0.004841791,0.0009396608],"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":[0.0002190806,0.0002952634,0.01043129,0.0002830034,0.0002701725,0.001108609,0.004511638,0.03193435,0.006612981,0.7304782,0.004150507,0.2097049],"study_design_scores_gemma":[0.00007156958,0.0001364799,0.002868023,0.0003402402,0.0001750448,0.001029437,0.001105411,0.286738,0.02592447,0.6253965,0.05608417,0.0001307227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03596855,0.0007570657,0.9274999,0.004684539,0.0001229943,0.0002967795,0.0001385087,0.001685524,0.02884617],"genre_scores_gemma":[0.7727312,0.0009439345,0.2149157,0.001057623,0.0003252322,0.0002718675,0.0002821222,0.0002446886,0.009227654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570657,"threshold_uncertainty_score":0.08306527,"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."}}