© 2010 Canadian Medical Association or its licensors
Bibliographic record
Abstract
A61-year-old right-handed man presented with a two-day history of a new headache that had developedgradually several hours after he dived into a lake. The headache, which encompassed the entire left side of the head, had a maximal intensity of 10 out of 10 and was described as dull and constant with mild photophobia. The patient also reported blurry vision in the left eye. In addition, his speech was slurred, and he had difficulty swallowing. There were no carotid or vertebral artery bruits evident on physical examination. Cranial nerve examination demon-strated 2.5-mm ptosis of the left eye; in addition, the diameter of the left pupil was 1 mm smaller than that of the right in dim light (Figure 1). Both pupils were reactive, and there was no relative afferent pupillary defect. The tongue deviated to the left when protruded; there were no fasciculations (Figure 1). The results of the remainder of the cranial nerve examination were normal, including normal gag response, symmetric ele-vation of the palate and full power in the sternocleidomastoid and trapezius muscles. The results of motor, sensory, cerebel-lar and gait testing were unremarkable. Ophthalmoscopy and visual-field testing during a neuro-ophthalmologic consulta-tion did not reveal any additional abnormalities. At this point, the main diagnostic considerations included a cervical mass lesion within the carotid sheath, such as dissec-tion of the carotid artery, which could cause a mass effect on the adjacent ascending sympathetic plexus or on cranial nerve XII at the base of the skull, beyond the point of emergence from the hypoglossal foramen. Such a mass would cause ipsi-lateral Horner syndrome (see Box 1) and deviation of the tongue. Alternatively, a left-sided lesion of the brainstem Cases Dissection of the internal carotid artery causing Horner syndrome and palsy of cranial nerve XII
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.845 | 0.820 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".