{"id":"W4224316621","doi":"10.1145/3485447.3512223","title":"Et tu, Brute? Privacy Analysis of Government Websites and Mobile Apps","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM Web Conference 2022","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Android (operating system); Internet privacy; BitTorrent tracker; Password; World Wide Web; Computer security; The Internet; Computer science; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.0014245,0.0001047628,0.0002662784,0.0001051593,0.0005186832,0.0000769155,0.00220882,0.00004076493,0.0009215033],"category_scores_gemma":[0.002054639,0.00009186792,0.0001167468,0.001107646,0.0002415065,0.0003211908,0.004563584,0.0002318081,0.000001256194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175442,"about_ca_system_score_gemma":0.0001425558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055201,"about_ca_topic_score_gemma":0.000203896,"domain_scores_codex":[0.9982439,0.00006523094,0.0002597262,0.0002816488,0.000954427,0.0001950137],"domain_scores_gemma":[0.9989026,0.0001116126,0.0003891142,0.0003943394,0.0001443084,0.00005808303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003474737,0.001047092,0.5232797,0.0003581854,0.001574866,9.633427e-7,0.1091192,0.00008841848,0.1600429,0.1615759,0.03097815,0.01158714],"study_design_scores_gemma":[0.001761956,0.0009424976,0.122682,0.000116299,0.002510932,0.000006569016,0.1682592,0.008381416,0.02856252,0.133811,0.5317951,0.001170483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874351,0.0002486916,0.0000113533,0.003970703,0.0001119391,0.0004452511,0.000261005,0.00002955662,0.007486419],"genre_scores_gemma":[0.9983835,0.00049488,0.0003898705,0.0000964293,0.0000258403,0.0001298902,0.000005606886,0.00000636811,0.0004675989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.500817,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479004339928924,"score_gpt":0.2849386553110434,"score_spread":0.2601486119117541,"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."}}