{"id":"W4225104993","doi":"10.2196/35653","title":"Individual-Level Evaluation of the Exposure Notification Cascade in the SwissCovid Digital Proximity Tracing App: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UZH Foundation; Universität Zürich; Bundesamt für Gesundheit; European Commission","keywords":"Observational study; Tracing; Contact tracing; Computer science; Medicine; Statistics; Coronavirus disease 2019 (COVID-19); Mathematics; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009204778,0.0001287581,0.0001916857,0.0001275125,0.0004893998,0.0004058813,0.0009948473,0.00002849723,0.000002880427],"category_scores_gemma":[0.0009606315,0.00009358754,0.00004360075,0.001288272,0.00003557278,0.001188306,0.0003360858,0.0003269564,4.726593e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682951,"about_ca_system_score_gemma":0.001937115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175551,"about_ca_topic_score_gemma":0.0004506601,"domain_scores_codex":[0.9955808,0.001388632,0.0005702858,0.0004293883,0.00169818,0.0003327364],"domain_scores_gemma":[0.9981326,0.0006289502,0.0003374171,0.000608518,0.0002004606,0.00009200683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001049345,0.0005309331,0.8776573,0.00007526617,0.00001124944,9.183685e-7,0.02547535,0.0004834939,0.000007454566,0.002299793,0.0001385584,0.09330919],"study_design_scores_gemma":[0.0006008698,0.0001621702,0.9852952,0.000005639934,5.431644e-7,0.00000834227,0.002600168,0.01012911,0.000001031097,0.0003736868,0.0007232473,0.00009995535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764527,0.0002089097,0.002834412,0.01784336,0.0001500963,0.002228538,0.00006990664,0.00004238728,0.0001696909],"genre_scores_gemma":[0.9977716,0.000001366553,0.00006038536,0.001546207,0.00002650752,0.000535803,0.00003767051,0.000006280086,0.00001414319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076379,"threshold_uncertainty_score":0.3913922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2353838984762929,"score_gpt":0.3622272952408815,"score_spread":0.1268433967645886,"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."}}