{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008181398,0.0001897398,0.0005587144,0.000126396,0.0001744537,0.00005254966,0.00005433216,0.00005175695,0.000009050284],"category_scores_gemma":[0.0005497165,0.0001803269,0.0000538707,0.0003333103,0.00007260941,0.0001200946,0.00008869231,0.000116837,0.000002677834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009292256,"about_ca_system_score_gemma":0.001231413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004301546,"about_ca_topic_score_gemma":0.0003545032,"domain_scores_codex":[0.9980264,0.0002140831,0.00052201,0.000522073,0.0002840614,0.0004313388],"domain_scores_gemma":[0.997917,0.000133805,0.0001864768,0.0003935809,0.000338832,0.001030316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003070757,0.0006613316,0.8862544,0.000986268,0.00007230329,0.00001477693,0.001356048,4.204918e-7,0.00005665041,0.000009835358,0.0002308131,0.11005],"study_design_scores_gemma":[0.003013817,0.0008684405,0.9177771,0.00002809917,0.000003338416,0.00001719512,0.000539658,0.0001039512,0.00001102862,0.00001148012,0.07746424,0.0001616352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936336,0.002396051,0.000790178,0.0004209651,0.0001267635,0.002217767,0.0001532014,0.0001407188,0.0001207352],"genre_scores_gemma":[0.9975435,0.0002195634,0.0002535349,0.0005856644,0.00007197617,0.0009175551,0.0001799467,0.00002610043,0.0002021623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098884,"threshold_uncertainty_score":0.7353516,"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."}}