{"id":"W2737877076","doi":"10.1007/978-3-319-62033-6_13","title":"Exploiting Autocorrect to Attack Privacy","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computer security; User information; Internet privacy; Information sensitivity; World Wide Web; Information system","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":[0.003116599,0.0007189196,0.0009204873,0.000784627,0.0008510566,0.002860126,0.001160367,0.001692879,0.003371872],"category_scores_gemma":[0.01884513,0.0006150798,0.001000969,0.001173824,0.003138957,0.004270053,0.005124699,0.004114044,0.0008324605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223037,"about_ca_system_score_gemma":0.000823217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625241,"about_ca_topic_score_gemma":0.0003058501,"domain_scores_codex":[0.9962458,0.001531217,0.0001258905,0.0004624812,0.00114407,0.0004905812],"domain_scores_gemma":[0.983042,0.009565711,0.0007616288,0.005743457,0.0005897778,0.0002973896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001648504,0.00004283566,0.0009039526,0.00004636752,0.00004404074,0.0002136956,0.0002108208,0.04320822,0.004301156,0.9012409,0.002437478,0.0471856],"study_design_scores_gemma":[0.00001640737,0.00003791521,0.0001742394,0.00001883818,0.00002030318,0.0002764609,0.00003370789,0.2504227,0.003490354,0.7411554,0.004334488,0.0000191321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05011147,0.0005928101,0.9220914,0.00109659,0.0001704725,0.00004252861,0.00006884758,0.000673075,0.02515291],"genre_scores_gemma":[0.9506859,0.0005294636,0.03962758,0.0003854771,0.0001839467,0.00004777978,0.00007995032,0.0001995512,0.008260346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003371872,"threshold_uncertainty_score":0.01648229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461131855047556,"score_gpt":0.2833043586117184,"score_spread":0.2486930400612428,"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."}}