Serum micronutrient concentrations in beef cows before and after the summer grazing season
Bibliographic record
Abstract
Serum concentrations of Cu, Mn, Mo, Se, vitamin A, and vitamin E were measured at the start and at the end of the summer grazing season in an observational field study of 791 commercial beef cows from 40 cow-calf herds from five community pastures. Copper and vitamin A were higher in the fall (P < 0.001), and Mo (P < 0.001) and selenium (P < 0.001) were lower in the fall compared with the spring. Cows aged 10-14 yr had lower concentrations of vitamin A (P < 0.001) and vitamin E (spring: P = 0.010; fall: P < 0.001) than cows aged 4-9 yr. Cows with thin pre-breeding body condition scores were more likely to have lower pre-breeding Cu concentrations than cows that were not thin (P = 0.044). Cows that were thin at the end of the grazing season were more likely to have lower vitamin A concentrations at this time than cows that were not thin (P = 0.033). Trace mineral supplementation given before calving was associated with higher spring concentrations of Cu (P = 0.007). Season of sample collection and the physiological status of the animals should be considered when interpreting the serum micronutrient status of beef cows and developing supplementation programs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".