{"id":"W3121864895","doi":"10.2196/14837","title":"A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dashboard; Workflow; Infectious disease (medical specialty); Public health; Disease surveillance; Outbreak; Computer science; Web application; Public health surveillance; mHealth; Internet privacy; Computer security; Medicine; Data science; World Wide Web; Disease; Database; Nursing","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":[0.004076678,0.000921586,0.0004038167,0.001210552,0.0004339218,0.001327949,0.001084932,0.000808094,0.002597853],"category_scores_gemma":[0.008825546,0.0004165553,0.00058548,0.0004638817,0.0003259084,0.001897,0.00111016,0.0007867938,0.0008796469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924624,"about_ca_system_score_gemma":0.001428332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514049,"about_ca_topic_score_gemma":0.001711733,"domain_scores_codex":[0.9984378,0.0005649849,0.0001413322,0.0001503857,0.0005238214,0.0001817071],"domain_scores_gemma":[0.993099,0.003712564,0.000348335,0.0002648776,0.002006589,0.000568712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00151416,0.01605731,0.09620739,0.007027345,0.0002673435,0.005617025,0.01655006,0.00286105,0.04590102,0.002677938,0.01847333,0.786846],"study_design_scores_gemma":[0.002384343,0.08124127,0.4080584,0.006969916,0.00212657,0.01173612,0.03282872,0.08099114,0.1068805,0.001753944,0.2642963,0.0007328101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589651,0.001057452,0.02127954,0.0005226661,0.0001638236,0.007633164,0.0008029874,0.001311337,0.008263893],"genre_scores_gemma":[0.7885761,0.003505507,0.183338,0.0006448049,0.00008076769,0.008096752,0.002682111,0.0002815754,0.01279443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004076678,"threshold_uncertainty_score":0.02155977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207137022014415,"score_gpt":0.3095378084995701,"score_spread":0.2888241062981287,"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."}}