{"id":"W3080906868","doi":"10.2196/21653","title":"Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chiesi España","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Track (disk drive); Pandemic; Computer science; Medicine; Virology; Outbreak; Infectious disease (medical specialty); Disease; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001564545,0.0002942214,0.0006713573,0.0002402659,0.0001420292,0.0003389427,0.0005295489,0.00006863217,0.000002610776],"category_scores_gemma":[0.001356583,0.0003028052,0.00003902681,0.001296459,0.00006909162,0.001207807,0.0002752689,0.0003311435,0.000005170436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699207,"about_ca_system_score_gemma":0.001044863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007815599,"about_ca_topic_score_gemma":0.001059512,"domain_scores_codex":[0.9966445,0.0002904672,0.0009081129,0.0009759323,0.0004271946,0.000753793],"domain_scores_gemma":[0.9967711,0.000522043,0.0002815631,0.0004332004,0.0001082334,0.001883845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001227499,0.001698566,0.920728,0.0004850304,0.00001892021,0.00003092405,0.03924757,0.0001119048,0.00001905226,0.0004405696,0.001645641,0.03545107],"study_design_scores_gemma":[0.004465141,0.03004617,0.9304031,0.00005659083,0.000001163094,0.00001233854,0.008914302,0.009557837,0.000001692956,0.000196465,0.01541203,0.0009332016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481066,0.0005052497,0.01603388,0.03249489,0.0001559203,0.002430271,0.00001916599,0.0002198875,0.00003412557],"genre_scores_gemma":[0.9912437,0.00006213754,0.0008077412,0.007536088,0.00005299523,0.0002593149,0.000007931902,0.0000208941,0.000009243214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04313704,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629913990626626,"score_gpt":0.3206494584420164,"score_spread":0.2576580593793538,"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."}}