{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001785822,0.0001187292,0.0001450384,0.0004829969,0.0002321343,0.001692414,0.05877431,0.00004554076,0.000001785696],"category_scores_gemma":[0.01039593,0.000106992,0.00002807512,0.0009213922,0.0003499312,0.01109762,0.05020191,0.0002986931,0.000004283283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045087,"about_ca_system_score_gemma":0.0003013002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008490991,"about_ca_topic_score_gemma":0.000001612824,"domain_scores_codex":[0.9975762,0.00003835024,0.0004128618,0.0006197184,0.001130379,0.0002224955],"domain_scores_gemma":[0.9916535,0.0002664327,0.0005554074,0.004617676,0.002770719,0.0001362815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006090238,0.00009637412,0.0002156524,0.000003932656,0.00002796297,0.000002649107,0.0001689416,0.0001486956,0.002868203,0.2407644,0.01197274,0.7437244],"study_design_scores_gemma":[0.0003648117,0.00006534115,0.003604002,0.00004371475,0.000005327277,0.0001439505,0.00009067425,0.5375731,0.0006468465,0.3955354,0.06177589,0.0001509304],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00164988,0.000107487,0.9247138,0.07206868,0.0004602478,0.0001366134,0.000009252171,0.0001024182,0.0007516565],"genre_scores_gemma":[0.3297283,0.00009975263,0.6692867,0.0004805768,0.0003770255,0.0000122067,0.0000054529,0.000005179435,0.000004890015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7435735,"threshold_uncertainty_score":0.9993439,"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."}}