{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004608575,0.0001887711,0.0002895849,0.00007505494,0.0003064476,0.00002487039,0.0004994198,0.00003675648,0.0001386558],"category_scores_gemma":[0.003451985,0.0001322113,0.0001328392,0.001248448,0.0001310039,0.0001164281,0.0002512248,0.0004131769,0.000009874483],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004257018,"about_ca_system_score_gemma":0.002710823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002204072,"about_ca_topic_score_gemma":0.0001752874,"domain_scores_codex":[0.9956157,0.0003246066,0.0004587745,0.0004413238,0.002796439,0.000363107],"domain_scores_gemma":[0.998314,0.0002117319,0.0003859755,0.0003033592,0.0005982479,0.0001867507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006083671,0.0002018078,0.9661787,0.0003927962,0.0001011434,0.000007106633,0.0004123679,0.002201593,0.001423937,0.002036422,0.0259852,0.000450517],"study_design_scores_gemma":[0.003084372,0.00008392004,0.9497416,0.00005691293,0.0001862219,0.0001170294,0.0009999169,0.02507402,0.00002395026,0.0006477953,0.0197519,0.0002323609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900955,0.001590414,0.00001793149,0.003388329,0.0001966814,0.001417941,0.001368633,0.0001131444,0.001811428],"genre_scores_gemma":[0.9978913,0.00004448086,0.000002294134,0.001160178,0.0001290967,0.0003583601,0.0001901232,0.00002622068,0.0001979188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287243,"threshold_uncertainty_score":0.9995655,"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."}}