A Structured Pre- and Post-Operative Voice Therapy Program for Benign Vocal Fold Lesions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Benign vocal fold lesions (BVFLs) are acquired structural anomalies of the vocal folds, and these are primarily a result of vocal abuse or phonotrauma. Phonotraumatic lesions are not generally regarded as recurrent, provided that appropriate behavioral changes are made after resolution or surgical removal. Voice therapy plays a crucial role in this aspect. The aim of this article is to propose a structured pre- and post-operative voice therapy program for patients undergoing surgical intervention for BVFLs. Voice therapy post-surgery has been proven to reduce the rate of recurrence in BVFLs. Having a standard treatment protocol is a useful tool for the therapist, particularly one without extensive voice training.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it