A Rare Case Presenting With Acute Stroke-Like Clinic: Todd’s Paralysis in the Setting of Frontal Dural-Based Tumor
Bibliographic record
Abstract
Herein, I present an 86-year-old male patient presenting with stroke-like symptoms in which diffusion-restricted lesion in diffusion weighted imaging (DWI) was firstly evaluated as ischemic stroke. However, the lesion was found to be atypical for ischemic stroke after meticulous evaluation of the DWI. Detailed neuroimaging studies and re-evaluation of the clinic led to the proper diagnosis of Todd’s paralysis in the setting of dural-based tumor. Via the presentation of this case and literature data, I draw attention to the importance of correct interpretation of DWI for proper diagnosis. I also remark the importance of multimodal evaluation of the patients before administering specific, but potentially harmful treatments such as thrombolytic drugs. J Neurol Res. 2018;8(3):36-38 doi: https://doi.org/10.14740/jnr498
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".