{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01639084,0.0001665737,0.0003206868,0.000143001,0.0005194496,0.00006969387,0.0001545158,0.00007962326,0.0002132641],"category_scores_gemma":[0.0352882,0.0001546511,0.00007566662,0.0003641897,0.00007632836,0.0007277678,0.0001614325,0.0001578936,0.00000110404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306183,"about_ca_system_score_gemma":0.0001235502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065428,"about_ca_topic_score_gemma":0.00002796489,"domain_scores_codex":[0.9970985,0.0004205374,0.0005467418,0.0004544299,0.001236518,0.0002432591],"domain_scores_gemma":[0.9959394,0.00128726,0.0006277597,0.0001764613,0.001907669,0.000061476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007267658,0.001598188,0.5443029,0.0006713838,0.001112931,5.382944e-7,0.01865109,0.002110102,0.01683185,0.09365132,0.05706824,0.2632747],"study_design_scores_gemma":[0.002759094,0.0006339454,0.07036813,0.00001942878,0.001464946,0.00000284677,0.002522951,0.3516753,0.0006295559,0.5651774,0.004388754,0.0003576263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947107,0.0001057798,0.002016277,0.0007506594,0.00008113033,0.002048138,0.00009781487,0.0001211287,0.00006833517],"genre_scores_gemma":[0.9923078,0.00002080277,0.006181795,0.0002108427,0.00006373446,0.001059172,0.0001152257,0.00002298521,0.00001760789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739347,"threshold_uncertainty_score":0.972838,"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."}}