{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001786132,0.0001874721,0.0002999533,0.001699835,0.001194896,0.002588812,0.00052491,0.0008179021,0.1959921],"category_scores_gemma":[0.01578565,0.0002707116,0.0002713788,0.001881059,0.000402557,0.001804025,0.002162583,0.001127314,0.06994927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006416325,"about_ca_system_score_gemma":0.001237633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008757868,"about_ca_topic_score_gemma":0.01133462,"domain_scores_codex":[0.9986417,0.0003320748,0.0001092646,0.0002138922,0.0005364242,0.0001666082],"domain_scores_gemma":[0.9928821,0.001755853,0.001060952,0.00104241,0.002195535,0.001063004],"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":[0.0002101226,0.00007785496,0.09120239,0.0003186236,0.00003586908,0.0003190448,0.001804111,0.00006714283,0.0004499589,0.00591613,0.6989532,0.2006456],"study_design_scores_gemma":[0.00001422209,0.00005607492,0.06747509,0.0002702411,0.00001313307,0.0003751966,0.001945154,0.00009688055,0.000331892,0.001084836,0.9283219,0.00001548546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1070418,0.002701055,0.004718435,0.02927763,0.002923219,0.0005556805,0.12676,0.001732405,0.7242898],"genre_scores_gemma":[0.2588617,0.004745706,0.00363264,0.02234696,0.001497059,0.0007138813,0.110199,0.0006528356,0.5973503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8040079,"threshold_uncertainty_score":0,"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."}}