Surgical Removal of Shaving Blade from Stomach of Dog
Bibliographic record
Abstract
A 2 years old Labrador dog was coming with history of ingestion of a new covered shaving blade immediately falling with owner’s hand during his shaving. Owner came to clinics after one day of the incident but any food was not given in that period, kept only on water. There were no any clinical signs observed in that period. Dog was normal. Lateral radiography was taken which revealed radio-opaque shaving blade in the stomach area. Solid food was not given after ingestion of shaving till surgical intervention. Surgical correction was planned to remove the shaving blade from the stomach next day. General anaesthesia was used and shaving blade was removed. The stomach was sutured with vicryl no. 1/0 in continuous lumbert and cushing pattern in double layer. Post-operatively administration of antibiotics, analgesics and regular dressing of wound was done and dog recovered uneventfully.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".