{"id":"W4413875170","doi":"10.1093/phe/phaf014","title":"Privacy, Exploitation and Global Disease Surveillance: Can We Justly Prevent the Next Pandemic?","year":2025,"lang":"en","type":"article","venue":"Public Health Ethics","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"University of Oxford","keywords":"Pandemic; Disease surveillance; Disease; Coronavirus disease 2019 (COVID-19); Computer security; Internet privacy; Environmental health; Political science; Computer science; Medicine; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.00446937,0.0002014535,0.000365905,0.00008683031,0.0005154207,0.0001722088,0.0002025666,0.0001841903,0.00007397391],"category_scores_gemma":[0.006301445,0.0001443796,0.0000837289,0.0006162355,0.0001994659,0.0001541731,0.0001344724,0.0008523096,0.000007210931],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005748784,"about_ca_system_score_gemma":0.01687991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037199,"about_ca_topic_score_gemma":0.0002346136,"domain_scores_codex":[0.9969555,0.0006757993,0.0005871499,0.0004302888,0.0006183147,0.0007329294],"domain_scores_gemma":[0.9961791,0.001157216,0.0001806906,0.0006146661,0.000355421,0.001512898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002317465,0.0007621716,0.1967372,0.00803393,0.0001629862,0.00001319232,0.02463959,0.000006050951,6.261037e-7,0.1321898,0.0158224,0.6214003],"study_design_scores_gemma":[0.0009914914,0.0001107451,0.3525319,0.000284803,0.00003322052,0.000008706636,0.002900763,0.0005929606,7.245509e-8,0.002963023,0.6394512,0.0001311245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05957284,0.008127321,0.001563646,0.9275239,0.0006664083,0.001180756,0.0001173194,0.0001549525,0.001092841],"genre_scores_gemma":[0.8648427,0.007181858,0.0002478698,0.1267021,0.0002574162,0.0001262655,0.0001321767,0.00001731967,0.0004923323],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8052698,"threshold_uncertainty_score":0.9886935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1782648370003455,"score_gpt":0.4266032147648907,"score_spread":0.2483383777645451,"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."}}