The DizzyFix: initial results of a new dynamic visual device for the home treatment of benign paroxysmal positional vertigo.
Bibliographic record
Abstract
OBJECTIVE: To develop and test a completely new dynamic visual device for the home treatment of benign paroxysmal positional vertigo (BPPV). DESIGN: Randomized, controlled, prospective trial. SETTING: Tertiary care hospital. METHODS: We designed and manufactured a new device (the DizzyFix) to assist in the performance of the particle repositioning manoeuvre (PRM). Fifty healthy volunteers were taught the PRM, half using the new device. At 1 week, we compared the PRM performance between the device and nondevice user groups. MAIN OUTCOME MEASURES: Performance of the PRM as graded on an 11-point scale. RESULTS: DizzyFix users in phase I scored significantly higher on their PRM performance compared with controls (p = .0001). CONCLUSIONS: The use of this new device enables volunteers to conduct a correct PRM on their own. This is a significant improvement from written instructions or in-office training.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".