{"id":"W4283331262","doi":"10.2196/39294","title":"Evaluation of MyCOVIDRisk App Users: An Updated Risk Evaluation and Mitigation Tool for Public Use","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Analytics; Risk assessment; Computer science; Smartphone app; Statistics; Internet privacy; Data science; Computer security; Mathematics","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":[0.01240776,0.001861111,0.001031963,0.004950524,0.0006027636,0.003154651,0.001514616,0.001135911,0.009915209],"category_scores_gemma":[0.0562201,0.0006991895,0.001366732,0.001206228,0.0003716261,0.003904534,0.002708222,0.001165192,0.005425235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142799,"about_ca_system_score_gemma":0.001132429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280473,"about_ca_topic_score_gemma":0.002747323,"domain_scores_codex":[0.9913133,0.003178911,0.00131876,0.0008645636,0.002942513,0.0003818861],"domain_scores_gemma":[0.9566559,0.02702429,0.00379753,0.003758298,0.007679757,0.001084334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004243861,0.002396402,0.2570359,0.004790286,0.000670115,0.0007339439,0.00676634,0.005768238,0.006179338,0.002444234,0.1308643,0.5781071],"study_design_scores_gemma":[0.001245308,0.006627355,0.5248944,0.007503162,0.001787686,0.003450337,0.005971287,0.1597455,0.0278849,0.01301923,0.2462043,0.001666535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5987455,0.003335756,0.1193983,0.00334275,0.0007245065,0.01117279,0.05460826,0.1597274,0.0489446],"genre_scores_gemma":[0.7467867,0.001373191,0.196908,0.00136118,0.0003021237,0.007503711,0.02854756,0.00607592,0.0111416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01240776,"threshold_uncertainty_score":0.06561929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3756022289194896,"score_gpt":0.447327955268337,"score_spread":0.07172572634884733,"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."}}