Aplicación de la ecocardiografía para el reconocimiento de estructuras cardiovasculares en caninos
Bibliographic record
Abstract
Aplica la técnica de ecocardiografía para reconocer y evaluar a fondo el sistema cardiovascular en caninos. Se logró observar un total de 214 animales en dos etapas diferentes: la primera, realizada en el Ontario Veterinary College de la Universidad de Guelph, Canadá, donde se observaron 140 casos para evaluación cardiovascular, de ellos a 50 animales se les realizó examen ecocardiográfico, donde 18 animales no presentaron ninguna alteración, mientras que a 72 animales se les diagnosticó algún padecimiento cardiovascular. La segunda etapa fue realizada en el Hospital de Especies menores, de la Universidad Nacional, se pusieron en práctica los conocimientos adquiridos en el Ontario Veterinary College. Se observaron 74 caninos, a 50 se les realizó el ecocardiograma, determinándose que 37 estaban sanos y 13 presentaron alguna anormalidad.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".