Bibliographic record
Abstract
Vascular myelopathy can be result from either extrinsic or intrinsic spinal cord lesions.Extrinsic pathology results from spinal cord compression and/or injury associated with mass effect.Intrinsic pathology results from spinal cord infarction, hemorrhage and venous congestion. 1 Among intrinsic spinal cord pathology, spinal cord infarction and hemorrhage develop symptoms rather suddenly, whereas venous congestion develops various symptoms gradually.Although spinal vascular malformation is a rare neurovascular disease, it is related to all three intrinsic and even extrinsic pathologies by compressing the spinal cord due to dilated arterial aneurysm or veins.[2][3][4] Venous congestion tends to be neglected at the time of diagnosis because of its insidious and vague symptom onset.5 When spinal dural arteriovenous fistula (SDAVF) develops symptoms, abnormal T2-wighted image or fluid attenuated inversion recovery signal intensity appears on magnetic resonance imaging in the midline scan along the spinal cord.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".