Bibliographic record
Abstract
A 77-year-old man with a background of intracranial hemorrhage and hemophilic arthropathy presented with progressive weakness of all four limbs. His symptoms started acutely 8 days after a seasonal influenza vaccination. Physical examination revealed symmetrical proximal muscle weakness and generalized areflexia. Common infectious triggers of Guillain-Barre syndrome (GBS) were ruled out. Neurophysiological studies demonstrated features consistent with GBS. The patient’s hospital stay was extensive and complicated by various comorbidities. Despite intravenous immunoglobulin (IVIG) treatment, the symptoms progressed to involve respiratory muscles and the patient was admitted to the intensive care unit. The patient’s condition gradually improved after a further course of IVIG, and he was discharged 15 weeks post-admission with ongoing community rehabilitation. The temporal relationship between influenza vaccination and GBS development in this case was suggestive of a vaccine-induced cause, and the clinical implications of this association warrant further research. J Neurol Res. 2017;7(4-5):97-101 doi: https://doi.org/10.14740/jnr456e
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".