Diagnosis and therapeutic management of hypothyroidism in a Labrador retriever dog
Bibliographic record
Abstract
Hypothyroidism is one of the common endocrine disorder of the dogs. A five-year-old Labrador male dog was presented to Referral Veterinary Polyclinic, IVRI, Izatnagar with history of anorexia, fever, continuous weight gain, patchy hair loss and itching all over the body. Clinical examination showed elevated body temperature, congested mucous membrane, tachycardia, rough and brittle hair coat, patchy alopecia predominantly in limbs and tail. Laboratory diagnosis showed altered thyroid profile. On the basis of laboratory diagnosis and clinical symptoms the case was diagnosed as hypothyroidism case. It was successfully treated with Tab. Levothyroxine @ 20 µg/kg b.wt. bid for 30 days orally along with supportive therapy.
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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".