{"id":"W6991055121","doi":"","title":"Extended Abstracts of the Fourth Privacy Enhancing Technologies Convention (PET-CON 2009.1)","year":2009,"lang":"en","type":"other","venue":"Qucosa (Saxon State and University Library Dresden)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási és Technológiai Hivatal","keywords":"Convention; Information privacy; Set (abstract data type); Privacy policy; Privacy software; Privacy by Design; Confidentiality; Privacy law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003837989,0.0009530212,0.0009564902,0.002277561,0.002968574,0.01067433,0.002138654,0.006779206,0.3734745],"category_scores_gemma":[0.00996294,0.0005115609,0.0007388724,0.002768211,0.0008817771,0.004618347,0.002914432,0.005080555,0.2587896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005600251,"about_ca_system_score_gemma":0.005415708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01811117,"about_ca_topic_score_gemma":0.03215506,"domain_scores_codex":[0.995823,0.0004553541,0.0002705822,0.0004052029,0.002626792,0.0004190104],"domain_scores_gemma":[0.9940314,0.001095373,0.0003387113,0.0006272538,0.00325749,0.0006498536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002228873,0.00003161496,0.00005069664,0.00007881097,0.000001851248,0.0000311752,0.00003850339,0.00005861427,0.0002412308,0.007824268,0.9786733,0.01294754],"study_design_scores_gemma":[0.000004668669,0.000006504928,0.0002650328,0.00006410394,0.000001509959,0.00001650559,0.00002067984,0.00005132964,0.0001355886,0.000988275,0.9984381,0.000007654152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005281401,0.00214515,0.004674303,0.009402836,0.01210983,0.0005312402,0.01193952,0.001488568,0.9571804],"genre_scores_gemma":[0.002497533,0.0009791143,0.001350594,0.00276134,0.001843471,0.0003171615,0.006087811,0.0007677055,0.9833953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3734745,"threshold_uncertainty_score":0.8936626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040237011626269,"score_gpt":0.205724316762339,"score_spread":0.1953219466460763,"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."}}