Predicting prognosis of left displaced abomasal corrective surgery
Bibliographic record
Abstract
The incidence rate of left displaced abomasum (LDA) in North America is commonly 3 to 7% of calvings. Of these cases, 12 to 17% are culled or die within 30 days of surgery. There have been numerous studies focused on predicting prognosis for right displaced abomasal corrective surgery; however, fewer studies focus on LDA surgeries. These studies tend to measure only a few parameters (i.e. blood analysis) and none focus on concurrent disease or physical exam at diagnosis. Croushore et al (2013) reported that cows that were not ketotic at diagnosis (BHBA<1.2mmol/L) were at 2.5 times greater risk of being culled within 30 days than ketotic cows. Various studies have also demonstrated that elevated aspartate aminotransferase, glutamate dehydrogenase, ornithine carbamoyl transferase, bilirubin, urea, Ca, K, and Mg were associated with an increased risk of unfavorable outcomes. The objective of this research was to determine if patient survival (or culling) within 60 days after surgery could be predicted from the physical exam findings, concurrent disease status, and a biochemical profile from a blood sample obtained at the time of LDA diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".