Bibliographic record
Abstract
<italic><bold>Nora Vanegas</bold> Dr Vanegas is a neurologist who specializes in deep brain stimulation (DBS) and the treatment of movement disorders including Parkinson’s disease, dystonia, and essential tremor. Dr Vanegas completed her combined clinical-research fellowship at the National Institutes of Health (NIH) under the mentorship of Dr Mark Hallett. Her training had a special focus on neuroimaging and neuromodulation. She transitioned to being an Assistant Professor of Neurology in Columbia University in 2016, and is now an established local expert in neuromodulation for movement disorders. Dr Vanegas is also a clinical investigator whose research involves clinical and translational areas of movement disorders, specifically the use of brain imaging for the understanding of DBS and the physiology of the basal ganglia. As part of multi-disciplinary research activities, Dr Vanegas has developed strong collaborations for various projects with the departments of Biomedical Engineering, Speech Pathology, Neurosurgery and Psychiatry at Columbia University. Such collaborative research activities include the use of instrumented assessments to measure gait characteristics in patients with Parkinson’s disease, the benefits of various airway protection interventions in patients with Parkinson’s disease who aspirate with food and the activity of brain neurons during decision making tasks.</italic>
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".