Bibliographic record
Abstract
We present a 25 year old female veterinarian technician presenting with rapidly progressive quadriplegia in less then 12 hours. Her symptoms occurred at work with initially bilateral hand weakness followed by arm and leg weakness. Before the end of the day she was on a ventilator in the ICU. MRI showed a hyperintense longitudinal T2 signal extending from the cervical medullary junction to T1. Extensive cervical spinal cord edema with cord expansion was noted. CSF showed normal protein and cell count with no oligoclonal banding. A post-infectious inflammatory process causing transverse myelitis was presumed and she was given IVIG, steroids, and plasmapheresis with no improvement. A serum ELISA test for IgG to Toxocara was reactive at titre of 1:800 at 3 weeks after her initial presentation. Her serum IgE levels was elevated at 169 x 10x3 U/L (Normal <87 x 10x3 U/L). At 4 weeks, she was commenced on albendazole at 800 mg per day for two months. A repeat serum ELISA test at 6 weeks and 2 weeks into her treatment with albendazole showed a declining titre of 1:200 consistent with recent Toxocara infection. At 10 weeks, her ELISA test was non-reactive. Unfortunately she did not respond to albendazole treatment and she shows minimal improvement now 1.5 years later.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".