A feasibility study of a CAREN assessment for mTBI patients with and without prism glasses
Bibliographic record
Abstract
Sensory dysfunction can be a major contributor to persistent symptoms after a mild traumatic brain injury (mTBI). There are many possible sensory dysfunctions; most impact posture and gait. This leads to increased cognitive processing demands to compensate, possible sensory inattention to the environment often resulting in increased symptomology and activity avoidance. With this project, we hope to characterize and identify novel ways of using virtual reality and motion analysis to help describe one type of sensory dysfunction - Visual Midline-Shift Syndrome (VMSS). Treatment for VMSS is to prescribe prism glasses. The current literature does not include evidence of testing for other sensory modality deficits (ie: vestibular) that could accompany VMSS, nor a full biomechanical analysis of the patient's posture and gait. Using the CAREN system at The Ottawa Hospital Rehabilitation Centre, a set of assessment exercises will be developed to identify spatial perception deficits in patients who have mild brain injuries and to determine if those deficits are only visual in nature. We will also explore how prism glasses affect balance and symptomology.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".