Laporan Kasus: Penanganan Demodekosis Umum pada Anjing Peranakan Pitbull dengan Labrador
Bibliographic record
Abstract
Hewan kasus merupakan anjing persilangan pitbull dengan labrador. Anjing kasus bernama El-Chapo, berjenis kelamin jantan, berumur 13 bulan, dengan bobot badan 22,16 kg. Anjing El-Chapo dibawa ke Laboratorium Ilmu Penyakit Dalam Veteriner, Universitas Udayana, Sesetan, Denpasar dengan keluhan sering menggaruk tubuhnya selama satu bulan belakangan ini. Awalnya, kasus anjing mengalami kerontokan rambut pada siku kaki depan sebelah kanan, kemudian menyebar dari siku ke dada hingga bawah telinga. Selain itu, kasus anjing mengalami eritema pada wajah dan punggung, serta hiperpigmentasi di seluruh permukaan tubuh dan terjadi pembengkakkan pada limfonodus mandibularis, limfonodus popliteus, limfonodus aksilaris, hingga limfonodus parotis. Pemeriksaan hematologi menunjukkan bahwa anjing mengalami anemia makrositik normokromik, limfositosis, dan trombositopenia. Pemeriksaan biopsi kulit menunjukkan adanya potongan tungau Demodex sp. dalam folikel rambut, sedangkan pemeriksaan kerokan kulit hingga pendarahan atau deep skin scraping menunjukkan infeksi adanya Demodex sp. Berdasarkan anamnesis, penyebaran lesi, pemeriksaan fisik, dan pemeriksaan laboratorium, maka anjing didiagnosis menderita demodikosis umum. Kasus anjing diberikan terapi ivermectin, diphenhydramine , caviplex, minyak ikan, dan mandi dengan sabun sulfur. Pada hari ke-21 pascaterapi, teramati rambut sudah tumbuh secara menyeluruh diseluruh permukaan badan, tidak tampak adanya eritema, sisik, krusta, dan papula, serta saat dilakukan kembali pemeriksaan kerokan kulit dalam atau deep skin scraping hasilnya tidak ditemukan tungau Demodex sp.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".