{"id":"W2887093264","doi":"10.48550/arxiv.1808.01883","title":"Pwned: How Often Are Americans' Online Accounts Breached?","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sample (material); Internet privacy; Psychology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492299,0.0001603011,0.0002751731,0.001837954,0.0004931173,0.001475259,0.000427639,0.0006663199,0.004200117],"category_scores_gemma":[0.0160648,0.0001486938,0.0002509149,0.00242629,0.0004710068,0.001695954,0.0008912617,0.001246338,0.001392239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705169,"about_ca_system_score_gemma":0.000220268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006418742,"about_ca_topic_score_gemma":0.007181141,"domain_scores_codex":[0.9989543,0.0003532273,0.00013031,0.0001735746,0.0002199665,0.0001686225],"domain_scores_gemma":[0.9769753,0.008844482,0.01024564,0.00127132,0.001552972,0.001110374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009155345,0.00005125115,0.9861224,0.00002737987,0.00004047709,0.00004198536,0.0005280892,0.0001426107,0.00009982479,0.0004669725,0.002093962,0.01029356],"study_design_scores_gemma":[0.000003974954,0.00003214217,0.9914916,0.00003960207,0.00003356964,0.0001774016,0.002529622,0.001731028,0.0003263783,0.0008280221,0.00279225,0.00001440941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889601,0.0001934036,0.0006742128,0.0006704321,0.00002184827,0.00001942985,0.004211596,0.00002427488,0.005224703],"genre_scores_gemma":[0.994926,0.0001711143,0.0002226494,0.00009826558,0.00003178433,0.00001917816,0.003351838,0.000008313085,0.001170816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006418742,"threshold_uncertainty_score":0.01405084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06884297628629826,"score_gpt":0.1998806449376166,"score_spread":0.1310376686513183,"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."}}