{"id":"W3210455933","doi":"10.2196/30004","title":"Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesamt für Gesundheit","keywords":"Contact tracing; Venn diagram; Tracing; Computer science; Coronavirus disease 2019 (COVID-19); Medicine; Psychology; Infectious disease (medical specialty); Pathology; Disease","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":[0.04184116,0.0006559904,0.0008460185,0.01038592,0.0007384564,0.00194477,0.001111391,0.0007475971,0.004565171],"category_scores_gemma":[0.1226769,0.0002773119,0.001328845,0.007734971,0.0008285808,0.0021141,0.002436497,0.0008465835,0.0004819995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137673,"about_ca_system_score_gemma":0.001689609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217444,"about_ca_topic_score_gemma":0.004018054,"domain_scores_codex":[0.952863,0.03629696,0.003360273,0.003105221,0.003716848,0.0006576723],"domain_scores_gemma":[0.7723392,0.1875849,0.02266878,0.005821604,0.01038583,0.001199679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001186403,0.0004380513,0.8498981,0.002965342,0.001699399,0.0003337359,0.01728243,0.008591966,0.001250415,0.007252068,0.007998159,0.1011039],"study_design_scores_gemma":[0.000313351,0.002875346,0.7637741,0.001953451,0.001035504,0.0009186933,0.03006549,0.1363091,0.003389685,0.01594964,0.04306135,0.0003543392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877493,0.001417812,0.08328787,0.0003631571,0.0001096512,0.00485542,0.01440998,0.0004382299,0.007368629],"genre_scores_gemma":[0.9348606,0.000328268,0.05158811,0.00008733582,0.00003695162,0.006447618,0.005841075,0.00004465253,0.0007654444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04184116,"threshold_uncertainty_score":0.2212799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540491675089029,"score_gpt":0.3688710290173635,"score_spread":0.2148218615084606,"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."}}