{"id":"W4406923865","doi":"10.1093/ofid/ofae631.2392","title":"P-2239. RNA Signatures for Diagnosing or Predicting Febrile Illness: A Descriptive Analysis","year":2025,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Descriptive statistics; Intensive care medicine; Virology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005457253,0.0007475039,0.001466058,0.01301422,0.0004204684,0.001532788,0.0006552097,0.0008204522,0.01171609],"category_scores_gemma":[0.02979116,0.0002480477,0.004619836,0.01265704,0.0005010718,0.001054638,0.0009426438,0.0006412703,0.002496003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467332,"about_ca_system_score_gemma":0.002662475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656692,"about_ca_topic_score_gemma":0.002865764,"domain_scores_codex":[0.9964379,0.0008711278,0.001267061,0.000494691,0.0007508324,0.0001784412],"domain_scores_gemma":[0.9438087,0.04826712,0.003581047,0.0005444955,0.00345718,0.000341461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005968352,0.0003049207,0.2609757,0.2574172,0.01510171,0.004543866,0.002304131,0.001103775,0.005694427,0.0027302,0.02820254,0.4156533],"study_design_scores_gemma":[0.0007670214,0.002935129,0.530706,0.1164636,0.08166381,0.0106716,0.006591848,0.004966212,0.007097774,0.006781827,0.2310617,0.0002934228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2696477,0.4516567,0.02342319,0.006683999,0.001044286,0.006262818,0.2175998,0.0007543823,0.02292709],"genre_scores_gemma":[0.7444409,0.1560715,0.02910433,0.00255809,0.0009319911,0.006903611,0.0528856,0.00034353,0.006760438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01301422,"threshold_uncertainty_score":0.03919423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795577114786117,"score_gpt":0.3316716244391067,"score_spread":0.3137158532912456,"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."}}