{"id":"W3152541909","doi":"10.2196/26303","title":"Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE): Overview, Components, and Public Health Applications","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Disease surveillance; Computer science; Personalization; Public health; Data sharing; Public health surveillance; Tracking system; Data science; World Wide Web; Medicine","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":[0.003003608,0.0009882697,0.0006421308,0.002915798,0.0004091047,0.002394916,0.001306758,0.0009346388,0.007463434],"category_scores_gemma":[0.003496138,0.0005875775,0.0004983359,0.001777982,0.0002990322,0.002852785,0.001611921,0.0008877804,0.004375956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186842,"about_ca_system_score_gemma":0.001116373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934771,"about_ca_topic_score_gemma":0.001073529,"domain_scores_codex":[0.9984143,0.0003057896,0.0002321154,0.000254171,0.0006439318,0.0001497874],"domain_scores_gemma":[0.9980804,0.0005467031,0.0001775886,0.0002298571,0.000734157,0.0002313038],"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":[0.0009140866,0.0006853483,0.02444511,0.001274904,0.0001269398,0.0005221572,0.0008610337,0.006484547,0.01817546,0.00987431,0.1108924,0.8257436],"study_design_scores_gemma":[0.0002634024,0.001033779,0.04601283,0.001039413,0.000295031,0.003794404,0.0005779865,0.1191769,0.03757401,0.007525731,0.7824079,0.0002986007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06993638,0.01556712,0.7368994,0.00334966,0.0006442108,0.005330152,0.00925925,0.1190706,0.03994326],"genre_scores_gemma":[0.4150723,0.01765694,0.4849824,0.002303383,0.001100905,0.004180556,0.02984667,0.003577088,0.04127974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007463434,"threshold_uncertainty_score":0.02496767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08076132617561707,"score_gpt":0.345744461011383,"score_spread":0.2649831348357659,"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."}}