An economic analysis of resting versus nonresting perennial pastures during the critical acclimation period
Bibliographic record
Abstract
Economic evaluations were carried out on stochastically simulated production systems using data from a grazing systems’ trial, which evaluated the impact of resting (i.e., grazing cessation) alfalfa (Medicago sativa L.) – bromegrass (Bromus riparius Rehm. ‘Fleet’) and grass-only (G) pastures during the critical prefrost period on beef cattle (Bos taurus) productivity. Grazing systems were compared on the basis of calculated net present value of returns analysis. Lower production costs through reduced fertilization requirements resulted in alfalfa–grass (AG) preference over G pastures, while returns from increased calf sale weights resulted in nonrested systems being preferred over rested systems. However, low presence of alfalfa in the AG pastures likely limited the potential for resting pastures to improve production through increased alfalfa persistence. This evaluation found nonrested grazing of AG pastures to be preferred over other treatments on the basis of increased returns and reduced risk.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".