{"id":"W4281252189","doi":"10.1145/3531146.3533222","title":"Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates","year":2022,"lang":"en","type":"article","venue":"2022 ACM Conference on Fairness, Accountability, and Transparency","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Science Foundation","keywords":"Vignette; Certificate; Salient; Perspective (graphical); Sample (material); Normative; Population; Internet privacy; Computer science; Coronavirus disease 2019 (COVID-19); Psychology; Social psychology; Medicine; Artificial intelligence; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001811481,0.0003733778,0.0004331158,0.000164218,0.001048497,0.0003945588,0.003165791,0.00008510831,0.0005740204],"category_scores_gemma":[0.001437884,0.0002475052,0.0001661894,0.0007923613,0.0003053134,0.0006416304,0.0006181615,0.0009464378,0.000007884835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757409,"about_ca_system_score_gemma":0.00100216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006065232,"about_ca_topic_score_gemma":0.002093443,"domain_scores_codex":[0.9963451,0.0006470214,0.0005644317,0.001048933,0.001002085,0.0003924274],"domain_scores_gemma":[0.994223,0.003112008,0.0002852013,0.001815341,0.0004317463,0.0001326822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003455525,0.0007456907,0.01000181,0.0002509362,0.00007283658,0.000007208794,0.04126354,0.0002302966,0.0004009194,0.9353558,0.0001539337,0.01117149],"study_design_scores_gemma":[0.003512329,0.002266854,0.1911003,0.0001121787,0.0001655994,0.00003827221,0.1602967,0.01759394,0.002485886,0.6174079,0.003317255,0.001702768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014169,0.0006653362,0.04627648,0.1393402,0.00132838,0.003299984,0.0006385074,0.0004488376,0.006585353],"genre_scores_gemma":[0.9981462,0.00006665519,0.0000317552,0.001216899,0.00003286572,0.0004315408,0.0000138486,0.00001592687,0.00004432091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3179479,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139485329319313,"score_gpt":0.3353491015661285,"score_spread":0.2214005686341971,"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."}}