{"id":"W2076869920","doi":"10.14569/ijacsa.2014.050919","title":"Privacy Preserving Data Publishing: A Classification Perspective","year":2014,"lang":"en","type":"article","venue":"International Journal of Advanced Computer Science and Applications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Data publishing; USable; Differential privacy; Data anonymization; Usability; Information privacy; Data mining; Privacy software; Information retrieval; Information sensitivity; Publishing; Computer security; World Wide Web; Human–computer interaction","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":[0.02415982,0.0009437163,0.002696055,0.004278385,0.004355677,0.01742188,0.005495505,0.006009281,0.004129201],"category_scores_gemma":[0.04942101,0.001016795,0.002741384,0.01266958,0.009504876,0.02860019,0.005471903,0.008781699,0.002018563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006625437,"about_ca_system_score_gemma":0.005455465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051646,"about_ca_topic_score_gemma":0.0007016664,"domain_scores_codex":[0.9617457,0.01303758,0.004001864,0.006380936,0.01314305,0.001690878],"domain_scores_gemma":[0.9093434,0.04248788,0.006972263,0.02882927,0.01070055,0.001666705],"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":[0.00005333414,0.00004968653,0.0008298845,0.0002223908,0.00003631298,0.0001583221,0.0003647349,0.004018954,0.0003434303,0.9438835,0.004264215,0.0457752],"study_design_scores_gemma":[0.00003490714,0.00006047044,0.0003858925,0.0001880903,0.00005167558,0.0007774047,0.0002745036,0.03528232,0.002333736,0.8965449,0.06401653,0.00004948481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004705423,0.004794972,0.953375,0.01617972,0.0007210888,0.0002585969,0.0004511637,0.0001997907,0.01931416],"genre_scores_gemma":[0.3991302,0.02035281,0.5358286,0.006155233,0.008801426,0.001131243,0.002236981,0.0003817203,0.02598165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02415982,"threshold_uncertainty_score":0.1277708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109513218844717,"score_gpt":0.3388543534956289,"score_spread":0.2877592213071817,"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."}}