Influenza-Associated Encephalopathy With Elevated Antibody Titers to Pandemic (H1N1) 2009 Influenza
Bibliographic record
Abstract
Pandemic H1N1 influenza (pH1N1) has been associated with encephalopathy, but the role of adaptive immunity in disease pathogenesis remains unclear. A child presented with seizures 5 days after onset of respiratory symptoms with pH1N1, with no detectable virus in cerebrospinal fluid. The authors compared her serum cytokines and pH1N1 antibody titers to those of 22 children with pH1N1, seasonal influenza, or other respiratory viral infections. They also compared her cerebrospinal fluid biomarkers to those of 20 children with confirmed or probable central nervous system infection or viral infection without central nervous system involvement. Her serum antibody titers were several-fold higher, and levels of proinflammatory cytokines in cerebrospinal fluid and serum were lower than those of controls. Antibody titers in cerebrospinal fluid were undetectable. The delayed onset of neurologic manifestations, normal cytokine levels in serum and cerebrospinal fluid, markedly elevated hemagglutinating and neutralizing antibody titers, and absence of virus and antibodies in cerebrospinal fluid raise the possibility of a post-infectious autoimmune-mediated process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".