{"id":"W4389128295","doi":"10.1101/2023.11.28.23298985","title":"Establishing syndromic surveillance of gastrointestinal infections in emergency departments using routine emergency department data and validating it against laboratory-based surveillance, Germany, January 2019 – June 2023","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Emergency department; Emergency medicine; Confidence interval; Medical diagnosis; Medical emergency; Outbreak; Pediatrics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00355761,0.0009004334,0.001726881,0.000843647,0.0001851897,0.00007326343,0.00100627,0.0002557902,0.0001658063],"category_scores_gemma":[0.003276987,0.0009953474,0.0002203678,0.001649547,0.0001624948,0.0003813692,0.002579291,0.001080605,0.00005129316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360493,"about_ca_system_score_gemma":0.001011221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008470477,"about_ca_topic_score_gemma":0.005086677,"domain_scores_codex":[0.992597,0.0008509477,0.002486252,0.002017814,0.001013192,0.001034731],"domain_scores_gemma":[0.9939545,0.0003918248,0.001515676,0.003084551,0.0005890637,0.000464387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316454,0.000483213,0.9792992,0.001737674,0.0002257501,0.0004190708,0.00003176007,0.004596329,0.003075538,0.000001750227,0.009924777,0.00007325991],"study_design_scores_gemma":[0.001920469,0.0001201055,0.9517651,0.001590263,0.0001519512,0.00006287065,0.00005348134,0.04254694,0.0001015537,0.00003220534,0.0008021618,0.0008529518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726222,0.001045349,0.001114384,0.0004082275,0.002510577,0.001686894,0.02016197,0.0002952912,0.0001551316],"genre_scores_gemma":[0.9733258,0.00177584,0.003651797,0.00004681765,0.0003318668,0.0001276106,0.0203232,0.0002090523,0.0002079597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03795061,"threshold_uncertainty_score":0.9992497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791910550340783,"score_gpt":0.3311487281700072,"score_spread":0.2832296226665994,"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."}}