{"id":"W179296825","doi":"","title":"Privacy and Data Mining: New Developments and Challenges.","year":2009,"lang":"en","type":"book-chapter","venue":"EGC eBooks","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Internet privacy; Information privacy; Data science; Computer science; Computer security; Business","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":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0003570975,0.0004651276,0.0004372383,0.0002386072,0.0001257424,0.0002585848,0.03098024,0.0004812152,0.000008186827],"category_scores_gemma":[0.001641171,0.0004701856,0.00002379883,0.00001796346,0.0001763928,0.0003905663,0.1891492,0.0004757241,0.00002570229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004806195,"about_ca_system_score_gemma":0.0002532108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007332328,"about_ca_topic_score_gemma":0.00001514246,"domain_scores_codex":[0.9972706,0.00001569502,0.0003664763,0.001558366,0.0003961424,0.0003927237],"domain_scores_gemma":[0.985314,0.0001214147,0.0002355253,0.01410833,0.00003453821,0.0001861681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002228805,0.000003180904,0.000003980308,0.0000378308,0.00004608238,0.00006266249,0.0001761286,2.880559e-9,0.000003771587,0.02859447,0.09731182,0.8737578],"study_design_scores_gemma":[0.0002383123,0.00004585226,0.0001191026,0.0002644211,0.00001532666,0.00007171714,0.000003684866,0.0002239054,0.00003548704,0.330108,0.6684384,0.000435683],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00005221612,0.0223816,0.005953742,0.02499119,0.0004735134,0.0006073746,0.00006522044,0.001480289,0.9439948],"genre_scores_gemma":[0.0001948722,0.008066709,0.7881804,0.0005152327,0.0001712815,0.000005276616,0.00007575309,0.00006873893,0.2027217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8733221,"threshold_uncertainty_score":0.999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598037375151532,"score_gpt":0.2936413671562434,"score_spread":0.1338376296410902,"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."}}