{"id":"W4210563571","doi":"10.2196/36514","title":"Evaluation of the National Electronic Disease Surveillance System Amid the COVID-19 Pandemic in Elsahel District, Cairo Governorate, Egypt, 2020","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease surveillance; Pandemic; Medicine; Public health surveillance; Public health; Population; Interview; Environmental health; Medical emergency; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Political science; 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":[0.02177064,0.0003932765,0.0003318552,0.0009617681,0.0006635645,0.001128184,0.0007015219,0.0006416573,0.00148825],"category_scores_gemma":[0.01891513,0.0001670047,0.0004972678,0.0007565669,0.0003904382,0.0009631793,0.0008511401,0.0002914562,0.0002102797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004736247,"about_ca_system_score_gemma":0.0044466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03303055,"about_ca_topic_score_gemma":0.0296021,"domain_scores_codex":[0.9929469,0.004272692,0.0005833819,0.0002931183,0.001272147,0.0006317922],"domain_scores_gemma":[0.9895327,0.00304483,0.0009225925,0.0003998706,0.005149593,0.0009504401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006075608,0.006343048,0.7845449,0.001434165,0.0003856461,0.001121373,0.009316904,0.01939731,0.006363986,0.0008298271,0.005328566,0.1588586],"study_design_scores_gemma":[0.0006930514,0.01867441,0.9048104,0.0004348784,0.0003155274,0.0002337729,0.0243183,0.03690134,0.005337889,0.0001399477,0.008055189,0.00008533213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953153,0.00007992122,0.0004431362,0.0003958743,0.00001287028,0.001007341,0.0004598336,0.00004972,0.002236116],"genre_scores_gemma":[0.9956235,0.00008836201,0.002419328,0.0001034989,0.000008690506,0.0003884709,0.0008523627,0.000003598507,0.0005121884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303055,"threshold_uncertainty_score":0.1151356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04185800537110097,"score_gpt":0.3170113684008106,"score_spread":0.2751533630297096,"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."}}