{"id":"W3184606821","doi":"10.2478/popets-2021-0058","title":"ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices","year":2021,"lang":"en","type":"article","venue":"Proceedings on Privacy Enhancing Technologies","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"CAPTCHA; Mobile device; Leverage (statistics); Downgrade; Android (operating system); Block (permutation group theory); Backup; The Internet","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":[0.002084246,0.00122435,0.00114951,0.001198981,0.001011325,0.001596345,0.002968806,0.001990836,0.007613673],"category_scores_gemma":[0.01333314,0.0006625004,0.001024937,0.0004919546,0.002146984,0.004789932,0.008414032,0.002260575,0.002980901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095432,"about_ca_system_score_gemma":0.0008344658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007232743,"about_ca_topic_score_gemma":0.0006636407,"domain_scores_codex":[0.9954647,0.001111732,0.0004003849,0.0008327609,0.001693611,0.0004967021],"domain_scores_gemma":[0.9907596,0.002360644,0.001170706,0.004428956,0.0009080684,0.0003721332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005349839,0.001158938,0.01541967,0.002716187,0.0007341508,0.004194146,0.003725739,0.07068412,0.1505619,0.1351952,0.06648638,0.5437737],"study_design_scores_gemma":[0.0007818313,0.001966694,0.006093303,0.0003707138,0.0003223469,0.003429173,0.0004734308,0.7376035,0.1119524,0.06882413,0.06777941,0.0004030583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0806754,0.001127586,0.8628251,0.001033396,0.000353799,0.0007658956,0.000719063,0.04451641,0.007983328],"genre_scores_gemma":[0.929023,0.0002503529,0.06319019,0.0005421244,0.0001107621,0.0003376182,0.0005670995,0.0005408399,0.005438045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007613673,"threshold_uncertainty_score":0.0254702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172704573250074,"score_gpt":0.2872717864098072,"score_spread":0.2555447406773064,"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."}}