{"id":"W3173586525","doi":"10.1111/risa.13768","title":"Quantifying SARS‐CoV‐2 Infection Risk Within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations","year":2021,"lang":"en","type":"article","venue":"Risk Analysis","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Environmental Health Sciences","keywords":"Quarantine; Statistics; Bluetooth; Asymptomatic; Medicine; Coronavirus disease 2019 (COVID-19); Attenuation; Toxicology; Mathematics; Biology; Computer science; Wireless; Internal medicine; Telecommunications; Physics","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":[0.001771994,0.00105908,0.0007442257,0.001797646,0.0002913045,0.001367509,0.0006688244,0.0008061808,0.001592921],"category_scores_gemma":[0.006155217,0.0003390068,0.0006816289,0.0006793348,0.0003153933,0.001353817,0.001122895,0.0005984047,0.0007260235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007220656,"about_ca_system_score_gemma":0.0007391255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313395,"about_ca_topic_score_gemma":0.01712052,"domain_scores_codex":[0.9984317,0.0004660357,0.000114531,0.000319157,0.000524043,0.000144436],"domain_scores_gemma":[0.9972501,0.001216098,0.0005488056,0.0002368506,0.0006107377,0.0001375052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00129954,0.0007368627,0.5172679,0.00157541,0.000466322,0.0007092999,0.001411306,0.1736799,0.01510706,0.01024458,0.02044116,0.2570606],"study_design_scores_gemma":[0.00006983216,0.001151207,0.2273757,0.0004061817,0.0003577342,0.001111408,0.0008233958,0.7248729,0.00797276,0.01417811,0.0214579,0.0002228203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7348845,0.005148484,0.2057584,0.002979669,0.000231527,0.001168733,0.01277558,0.008937058,0.02811608],"genre_scores_gemma":[0.9486641,0.0006646444,0.04383188,0.0002827847,0.00006689884,0.0001832616,0.003823583,0.0001233888,0.002359388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313395,"threshold_uncertainty_score":0.026115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04922762694550515,"score_gpt":0.3345739429614904,"score_spread":0.2853463160159853,"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."}}