{"id":"W2953766919","doi":"10.1145/3292522.3326046","title":"Pwned","year":2019,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Data breach; Private information retrieval; Internet privacy; Sample (material); Social security; Computer science; Computer security; Business; Political science; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002557995,0.00002285941,0.00003349441,0.00001711476,0.0001200872,0.00003598405,0.0001716388,0.00003635207,0.003194234],"category_scores_gemma":[0.0001292401,0.00002007162,0.00001564342,0.00008684936,0.00002714851,0.0002060741,0.00005530923,0.00003697487,0.002277328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002086856,"about_ca_system_score_gemma":0.00003466046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004363029,"about_ca_topic_score_gemma":0.00143989,"domain_scores_codex":[0.9996128,0.00003899366,0.00003909837,0.00008058385,0.000122366,0.000106169],"domain_scores_gemma":[0.9997752,0.00001899843,0.00001155938,0.0001397867,0.00001798955,0.00003644876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002240432,0.00008445513,0.02602211,0.00001425044,0.00001188805,0.000001349498,0.01031077,6.755751e-7,0.001631361,0.8622031,0.0670729,0.03262475],"study_design_scores_gemma":[0.0001462544,0.00002137741,0.003508703,0.000002322739,0.000001580874,1.663524e-7,0.002064795,0.00002875788,0.0004869562,0.03054321,0.9631185,0.00007738163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1723818,0.00003054551,0.0005538038,0.003220431,0.0005885139,0.0001929644,0.000001469925,0.0001440477,0.8228864],"genre_scores_gemma":[0.9869145,0.00002740657,0.0002887973,0.0002660624,0.0001435341,0.00000266751,0.000002049652,0.000001850115,0.01235318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8960456,"threshold_uncertainty_score":0.9984995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609569662804206,"score_gpt":0.3051744800365809,"score_spread":0.2790787834085389,"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."}}