HORSE SPECIES SYMPOSIUM: Pathogenic and reproductive dysfunction in horses1
Bibliographic record
Abstract
One of the major factors contributing to production losses in the equine industry is pathogen-associated reproductive dysfunction. Although it is difficult to place a true value on the economic losses associated with pathogen-induced reproductive dysfunction in the horse due to the varying value of individual animals, the financial loss and emotional stress to horse owners and breeders is significant. Pathogenic organisms are associated with poor reproductive performance in the stallion and open and pregnant mare. Thus, the Horse Species Symposium held in Denver, Colorado, on July 15, 2010, at the joint meeting of the American Society of Animal Science, American Society of Dairy Science, Poultry Science Association, Asociación Mexicana de Producción Animal, and Canadian Society of Animal Science targeted 3 areas of significance: 1) contagious equine metritis (CEM), 2) identification of pathogens associated with endometritis and chronic endometritis in the mare, and 3) pathogen invasion during uterine infection leading to premature birth in mares. The primary goal of the symposium was to give an update on these 3 areas of concern and what progress has been made in the management, diagnosis, and treatment of these infectious conditions that have led to reduced reproductive performance in the equine species.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".