{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001772261,0.0004462656,0.0004450313,0.0008782374,0.0009672449,0.0008272238,0.000571439,0.0008254584,0.002017844],"category_scores_gemma":[0.005500785,0.0004763853,0.0006385299,0.0008504243,0.000564464,0.0009321061,0.001150844,0.0007829331,0.0005181338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100334,"about_ca_system_score_gemma":0.001204359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02527155,"about_ca_topic_score_gemma":0.02556281,"domain_scores_codex":[0.9984618,0.0005221491,0.000171372,0.0003552267,0.0002731321,0.0002162064],"domain_scores_gemma":[0.9961435,0.0008205941,0.001644791,0.0003498573,0.0005690064,0.0004722038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002782372,0.0005231976,0.9949338,0.00005918332,0.00006255,0.0001534491,0.001560551,0.00008555109,0.0002150362,0.00002360559,0.0002246154,0.001880161],"study_design_scores_gemma":[0.00001999134,0.001004462,0.9957204,0.00003287034,0.00004651149,0.0002036382,0.001908284,0.0005816552,0.00009981932,0.00002551453,0.0003414906,0.00001534009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991273,0.00004680109,0.0001166032,0.00001545352,0.000002299006,0.00009374481,0.0003568952,0.000003473429,0.0002374997],"genre_scores_gemma":[0.9987736,0.00006258533,0.0002357045,0.00002864349,0.000007133798,0.0001407784,0.0005773848,0.000002299047,0.0001718595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02527155,"threshold_uncertainty_score":0.05024892,"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."}}