Bibliographic record
Abstract
Abstract A Male German Shepherd dog, five years old, twenty six kg of body weight was submitted to Professor Soeparwi Animal Hospital, Faculty of Veterinary Medicine, Gadjah Mada University by Mr. Siswo Han, the owner who lives in Cangkringan, Yogyakarta on May 13, 2013. The dog was suffered from the pain and lameness on the front-left extremity for about 2 weeks. The dog having registered number of 8738/V/A/RSH/13 did not show any specific clinical signs, except the lameness. Skin and hairs, mucous membranes, lymphoid glands, and respiratory, digestive, circulatory and uropoetica organs as well were within the normal limits. The result of standard blood test for both red blood cell and white blood cell were still within normal values. Evaluation of fecal sample of the dog was also normal meaning that no parasites were found in the fecal sample. Radiographic analysis of the upper left extremity and the lungs area showed that there was an irregular bone growth on the left caput humeri, and the lungs were normal. Based on the lesion, the dog was diagnosed as having a hyperthropic osteopathy (Marie Disease).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".