Axial pattern flaps, using the deep circumflex iliac artery, superficial brachial and cranial superficial epigastric direct cutaneous arteries in the dog.
Bibliographic record
Abstract
Three dogs (Boxer, Labrador Retriever and German Shepherd) between the age of 7-10 years were presented with the history of tumour masses on right caudo-lateral thigh, right cranial forearm and left cranial and caudal thoracic mammary gland region, respectively. Fine needle aspiration cytology of the tumour masses and the sentinel regional lymph nodes were done. Plain radiography was done to rule out distant metastasis. In all the three cases the tumour masses were large in size, firmly adherent to the tissues underneath and sufficient loose skin was not available to close the skin defect following surgery. Hence axial pattern flaps were chosen to close the skin defect, following wide margin excision of tumour masses, leaving 3 cm from all the dimensions including healthy tissue. Deep circumflex iliac axial pattern flap, superficial brachial axial pattern flap and cranial superficial epigastric axial pattern flap were chosen to close the skin defect in case 1, case 2 and case 3, respectively. Post-operatively the dogs were admitted in in-patient unit for 5 days to restrict movement of the dog for immobilization of the flap and for wound dressing. All the cases recovered uneventfully with few complications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".