Foaling rates and risk factors for abortion in pregnant mares presented for medical or surgical treatment of colic: 153 cases (1993-2005).
Bibliographic record
Abstract
The purpose of this study was to determine foaling rates in mares presented for medical or surgical treatment of colic, and to examine risk factors associated with abortion following colic. A retrospective analysis of 153 medical records found that mares treated surgically for colic (P = 0.0007) were 3.5 times more likely to have a negative pregnancy outcome than were mares treated medically for colic. Anesthetic time (P = 0.01) and intra-operative hypotension (P = 0.03) were significantly associated with negative pregnancy outcome. Mares with an anesthetic time > or = 3 h were 6 times more likely to abort. Signs of endotoxemia (P = 0.30), hypoxia (P = 0.89), flunixin meglumine administration (P = 0.13), mucous membrane color at the time of presentation (P = 0.82) and capillary refill time (P = 0.76) were not associated with pregnancy outcome. There was no difference in the foaling rate for mares that had received progestin supplementation versus those that had not (P = 0.42). In this study, the significant risk factors for abortion were surgically treated colic, long anesthetic time, and intraoperative hypotension.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".