Bibliographic record
Abstract
The selected case involved a 3 year old Quarter Horse gelding that originally injured his right hind limb on high tensile wire fencing in April of 2010. The wound was small, approximately 4-5 cm, and was healing well. The same area was re-injured at the beginning of June. This time, the wound was much larger and encompassed the majority of the dorsal aspect of the metatarsus. Initially, the client’s regular veterinarian was handling the wound, but due to the severity of the injury, decided to refer the case to Cornell for further treatment. On presentation, the wound on the right hind fetlock was approximately 20cm long by 12cm wide distally, tapering to 3cm wide proximally. The granulation tissue was pale pink, glistening, and slightly raised above the edges of the skin. Due to the extensive size and location of the wound, a skin graft was chosen as the optimal treatment. Exuberant granulation tissue was resected and the area was bandaged. Two days later, the horse was taken to standing surgery for pinch grafting. 4-5 mm partial thickness pinch grafts were taken from the left side of the neck using a needle and #10 scalpel blade. Stab incisions were made 1cm apart into the granulation tissue bed on the right metatarsus using a #15 scalpel blade. The grafts were inserted using ophthalmic forceps. A sterile bandage was applied to the area and kept in place for 48 hours before changing to ensure the grafts stayed in place. After that, the bandage was changed every 3-4 days until recheck 4 to 6 weeks later. A silicone dressing was used after the first week to prevent the formation of excess granulation tissue at the graft site. Oral trimethoprim sulfa antibiotic was given BID for 7 days. The horse was confined to strict stall rest for the first 10-14 days then was hand walked for 4 weeks before turning out.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| 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".