Treatment and Result of Slight Velopharyngeal Incompetence
Bibliographic record
Abstract
As the adequate ve10pharyngeal function is a prerequisite to correcting faulty arti-culations which may be found in patients with repaired cleft palate, submucous cleft palate, or congenital velopharyngeal incompetence. Our · diagnostic and thera-peutic measures start therefore with the diagnosis of velopharyngeal function, com-petent or incompetent. In principle, speech therapy to correct faulty articulation will be given only to those patients who are diagnosed as having adequate velo-pharyngeal function. Those with velopharyngeal incompetence will be surgically treated first, prior to any speech therapy. Based on analysis of the inquiries sent to one thousand speech pathologists in the United States and Canada, Schneider and ShprintzenD showed that the two main modes of treatment employed for velopharyngeal incompetence were speech therapy (80%) and pharyngeal flap (70%). The former consisted in articulatory training in most cases. The total number exceeded 100%, because the respondents could pro-vide multiple responses to a single question. Van Demark and Morris2) reported in their longitudinal study on the stability
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".