{"id":"W3048471045","doi":"10.2196/19533","title":"A Web-Based, Mobile-Responsive Application to Screen Health Care Workers for COVID-19 Symptoms: Rapid Design, Deployment, and Usage","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Coronavirus disease 2019 (COVID-19); Telemedicine; 2019-20 coronavirus outbreak; Web application; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mobile device; Health care; Computer science; World Wide Web; Medicine; Medical emergency; Virology; 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":[0.004995326,0.000939682,0.0002958437,0.001052888,0.0005283046,0.001560449,0.001749041,0.0008517795,0.002994054],"category_scores_gemma":[0.009762317,0.0006007159,0.000568667,0.0003336011,0.000583934,0.001630299,0.00183031,0.001096917,0.001603209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099494,"about_ca_system_score_gemma":0.001474338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009900588,"about_ca_topic_score_gemma":0.001383364,"domain_scores_codex":[0.9973617,0.001035666,0.0002229177,0.0003288292,0.0008046373,0.000246127],"domain_scores_gemma":[0.9944836,0.002685048,0.00043059,0.0005557262,0.001280889,0.0005641106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001031261,0.00358954,0.0322859,0.001908277,0.0001582854,0.003384436,0.01059303,0.008018388,0.1523419,0.004515093,0.03035875,0.7518151],"study_design_scores_gemma":[0.001527155,0.02019809,0.1351548,0.002980608,0.0008088833,0.01142438,0.009340356,0.2154488,0.2196198,0.01032666,0.3719452,0.001225425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2827968,0.0003052018,0.6663911,0.001217372,0.000195708,0.01111682,0.00084062,0.02577962,0.01135679],"genre_scores_gemma":[0.2863354,0.0003854464,0.6969162,0.000589649,0.0000619811,0.004981269,0.001499878,0.001760123,0.007469987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004995326,"threshold_uncertainty_score":0.02641815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09070024470776974,"score_gpt":0.4253193834996153,"score_spread":0.3346191387918456,"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."}}