{"id":"W4411073803","doi":"10.1007/s10115-025-02479-2","title":"A new privacy-preserving approach for publishing periodical reporting systems data","year":2025,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Data publishing; Computer science; Publishing; Information privacy; Data science; Information retrieval; Internet privacy; Data mining; World Wide Web; Political science","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":["scholarly_communication","open_science"],"category_scores_codex":[0.003961612,0.0002254759,0.0004344018,0.0004883459,0.0005265141,0.008718552,0.02412182,0.0002814733,8.968986e-7],"category_scores_gemma":[0.06828947,0.000202817,0.00004712734,0.0009198952,0.00005407918,0.02471452,0.08166124,0.0003154291,0.00001036378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153863,"about_ca_system_score_gemma":0.0005704598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002600306,"about_ca_topic_score_gemma":0.000002845142,"domain_scores_codex":[0.9967729,0.00009036885,0.001800932,0.0005553769,0.0003402238,0.0004401285],"domain_scores_gemma":[0.9877782,0.0003133802,0.001252347,0.01008757,0.0004257397,0.000142767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000553195,0.00001644674,0.0006677669,0.001456233,0.00004972568,6.285777e-7,0.0008098877,0.00004112576,0.00001279008,0.04714648,0.9037761,0.04601729],"study_design_scores_gemma":[0.0003241779,0.00001261213,0.00009904303,0.0002404829,0.000008338189,0.00002977889,0.0004992575,0.649446,0.00001538695,0.0008812241,0.3482952,0.0001485032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002228649,0.003275886,0.9602603,0.002771263,0.001516864,0.001023706,0.00004937393,0.000860415,0.0300193],"genre_scores_gemma":[0.3774348,0.0001352236,0.6181165,0.0002588398,0.0006421867,0.0005001514,0.001355612,0.00002972396,0.001526971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6494048,"threshold_uncertainty_score":0.9923105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07142405149752376,"score_gpt":0.3138781517890842,"score_spread":0.2424541002915605,"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."}}