{"id":"W191681069","doi":"","title":"Privacy Agents and Ontology for the Semantic Web","year":2004,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Access Control and Trust","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Privacy policy; World Wide Web; Information privacy; Privacy by Design; Internet privacy; Semantic Web; XML; Privacy software; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006847155,0.0007844619,0.001062031,0.003922114,0.004139406,0.009443454,0.00262652,0.00518675,0.004074781],"category_scores_gemma":[0.006700216,0.001010419,0.002618756,0.004173927,0.007341665,0.01653681,0.005553294,0.007260715,0.00168698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003774845,"about_ca_system_score_gemma":0.006031486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074816,"about_ca_topic_score_gemma":0.007523979,"domain_scores_codex":[0.9936634,0.002342168,0.0008936166,0.0007344853,0.001946852,0.0004194436],"domain_scores_gemma":[0.9967183,0.001174339,0.0002989301,0.001012153,0.0004574151,0.0003387351],"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":[0.000004977079,0.00001405788,0.0000523775,0.00004259052,0.00000950487,0.00007285375,0.0002690906,0.0009017459,0.0001667283,0.9913188,0.002037804,0.005109525],"study_design_scores_gemma":[0.00001615421,0.00001006779,0.0001038958,0.000124013,0.00002098833,0.0002010475,0.00025822,0.0110128,0.0004522364,0.8149904,0.1727854,0.00002486474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002686135,0.001674638,0.9372042,0.008636457,0.0006759624,0.000336138,0.0005340817,0.001083783,0.04716866],"genre_scores_gemma":[0.08043286,0.002890558,0.894214,0.003160739,0.0005795406,0.001007939,0.001631601,0.0003488776,0.01573399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01074816,"threshold_uncertainty_score":0.03621167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232130311598599,"score_gpt":0.2999254641664695,"score_spread":0.2776041610504835,"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."}}