Procedure for laryngotracheal separation in the goat: development of a new animal model for analysis of craniofacial growth.
Bibliographic record
Abstract
Most animal models used to study the process of postnatal craniofacial growth require direct manipulation of the craniofacial area, a growth period, then evaluation of the area. However, the scar tissue associated with direct manipulation of the craniofacial structures can produce growth abnormalities that are unrelated to the manipulation itself. To avoid this confounding variable in the study of craniofacial growth, we developed an animal model that involves laryngotracheal separation in a young animal. Our procedure completely separates the trachea from the upper aerodigestive tract and removes the site of scar tissue formation from the region of investigation. The tracheal stomas of the goats we describe were maintained for as long as 9 months. Unlike human patients, goats with laryngotracheal separation require laryngectomy tubes to prevent life-threatening stenosis of the tracheal stoma. Here we describe the operative procedure and post-operative care required for this new animal model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".