Transient analysis of non-linear VOR nystagmus - clinical implications
Bibliographic record
Abstract
We present an alternate method for the analysis of eye movements in the vestibular ocular reflex (VOR), called vestibular nystagmus. Classically, a central 'integrator' (gaze holding) is assumed to have a large time constant, so that VOR dynamics are presumed to be seen in the behaviour of 'envelopes' of slow-phase eye velocity. This method often cannot distinguish between healthy normals and compensated patients, and theoretically it is inappropriate in a switched system like the VOR. Our transient analysis method instead allows for simultaneous estimation of central and vestibular time constants, by incorporating the effects of transients in each slow-phase segment. We analyzed data from both unilateral vestibular patients and normal subjects to illustrate the effects of various analysis methods on estimated VOR parameters. The new method allows for robust detection of vestibular abnormalities even after compensation, and can be used for the analysis of any eye reflexes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".