Estudio retrospectivo de masas cutáneas neoplásicas en caninos diagnosticadas histopatológicamente en la Universidad de La Salle (1999-2003)
Bibliographic record
Abstract
The purpose of this paper is to made a retrospective analysis of skin neoplasm in dogs, which was found at La Salle University during a period of five years. This study was made with data’s given by the histopathology and diagnostic area of La Salle University located at Bogotá, Colombia. The register record has the following five characteristics: diagnostic, sex, age, breed, malice and tumor localization. The cases were grouped based in type of neoplasm to determined their characteristics and behavior of this pathologies. During this period accumulated 192 cases in total. The average age of the patients was 6,5 years, it was found that Boxer was the most injury breed with a 19,1% (32 dogs), following the Labrador with 13% (26 dogs) and Poodle with 10,5% (22 dogs); the males also was the most injury with 58% (108 dogs). The tumors that had the major incidence were the Mast cell tumor (26,2% in 2003 and 20% in 2002) and the Histiocytoma (12,3% in 2003 and 10% in 2002) the other neoplasm that appears in this study was the Lipoma, Trichoepithelioma, Squamous cell carcinoma and Papilloma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".