Case report: pyometra in Golden Retriever dog.
Bibliographic record
Abstract
Pyometra adalah akumulasi nanah dalam lumen uterus anjing betina yang umumnya menyerang anjing betina dewasa. Seekor anjing Golden Retriever berjenis kelamin betina bernama Elis, umur 8 tahun dengan bobot badan 35,4 kg, beralamat di Jalan Ahmad Yani Gang Bina Marga 90Y, Denpasar dengan keluhan mengeluarkan leleran kental berwarna kemerahan dari alat kelamin selama seminggu. Pemilik melaporkan anjing sudah pernah dikawinkan dua bulan yang lalu namun tidak terjadi kebuntingan. Secara fisik anjing terlihat lesu dengan napsu makan menurun dan minum masih baik, urinasi normal. Berdasarkan hasil pemeriksaan klinis dan darah lengkap yang dilakukan di Rumah Sakit Hewan Universitas Udayana, anjing didiagnosa menderita pyometra. Anjing ditangani dengan melakukan pembedahan untuk mengangkat ovarium dan uterus (ovaryohysterectomy) dan dilanjutkan pemberian antibiotika dan analgesik. Pada hari ke-14 pasca operasi luka bekas insisi sudah mengering, kulit menyatu dengan baik, dan sudah tidak lagi mengeluarkan leleran dari alat kelamin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".