{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00646281,0.000306198,0.001050951,0.0001531322,0.00099119,0.0001185427,0.0003499454,0.0001235342,0.000005822892],"category_scores_gemma":[0.0007842007,0.0002618632,0.000127596,0.000976966,0.0003361322,0.0001631336,0.0001174353,0.0005652147,0.000003660838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808382,"about_ca_system_score_gemma":0.003761903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005550594,"about_ca_topic_score_gemma":0.0009096654,"domain_scores_codex":[0.9947397,0.002019829,0.001142261,0.0005385869,0.0004649138,0.001094734],"domain_scores_gemma":[0.9936557,0.00218084,0.0008299816,0.001472306,0.0008976911,0.0009635205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002418574,0.001027725,0.8515601,0.01408059,0.0002385705,0.000001893475,0.0008515283,0.00001024122,0.0002982522,0.03061417,0.004426334,0.09664869],"study_design_scores_gemma":[0.001909762,0.0003001878,0.6177827,0.00008903047,0.000003115687,0.00004224662,0.0009059688,0.002479806,0.000004670032,0.00007520049,0.3761684,0.0002388364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5577646,0.07841542,0.110047,0.2337388,0.0005135279,0.01352441,0.004993155,0.0007604646,0.0002426863],"genre_scores_gemma":[0.9856335,0.003540408,0.0005102686,0.005605074,0.0001134544,0.001310637,0.003204247,0.00004674511,0.00003565834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4278689,"threshold_uncertainty_score":0.9999834,"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."}}