{"id":"W3045323491","doi":"10.1101/2020.07.21.20159186","title":"Epidemiological, clinical and genomic insights into the ongoing diphtheria outbreak in Yemen","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"World Health Organization","keywords":"Outbreak; Corynebacterium diphtheriae; Diphtheria; Epidemiology; Medicine; Antimicrobial; Virology; Biology; Vaccination; Microbiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001026952,0.0003856229,0.0006349881,0.00003510091,0.00007975287,0.00006874668,0.0006728786,0.0006032668,0.0000274364],"category_scores_gemma":[0.0007380238,0.0002588613,0.0002231084,0.00006155368,0.0003813396,0.000002972496,0.001760928,0.0006754792,0.00002587938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001715204,"about_ca_system_score_gemma":0.0001279543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116615,"about_ca_topic_score_gemma":0.0002382619,"domain_scores_codex":[0.9970845,0.0007330347,0.0007582216,0.001009482,0.0001090551,0.0003057055],"domain_scores_gemma":[0.9986047,0.0001354631,0.0002623442,0.0007985802,0.00004051745,0.0001583866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005393394,0.0002614483,0.6621671,0.0002277561,0.0005440145,0.000119845,0.002372953,0.00007518143,0.3073233,0.000473536,0.0007944768,0.02510111],"study_design_scores_gemma":[0.0009117767,0.0004081018,0.8288011,0.00009481304,0.00007943905,0.00001115265,0.0001757184,0.0002764857,0.002635982,0.005939089,0.1599411,0.0007252363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923856,0.003439267,0.0001539181,0.001191505,0.0006623951,0.0004318535,0.000008917724,0.00002613509,0.001700436],"genre_scores_gemma":[0.9931048,0.003871011,0.0004414941,0.001397149,0.0008352208,0.00007576533,0.00009309525,0.00004552893,0.0001360054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3046873,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535380404082007,"score_gpt":0.3158568550537416,"score_spread":0.2705030510129215,"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."}}