Weight Gains and Nutrition of Cattle Grazing on Grasslands of Central Interior British Columbia, Canada
Bibliographic record
Abstract
Average daily gains and nutrient deficiencies of cattle grazing three grassland zones in British Columbia are shown. Cattle production was greatest on the rough fescue (Festuca scabrella) -bluebunch wheatgrass (Agropyron spicatum) association and least on the big sagebrush (Artemisia tridentata) -bluebunch wheatgrass association. Nitrogen (N), phosphorus (P) and magnesium (Mg) concentrations in cattle diets generally paralleled cattle gains. Increases in these nutrients in forages correlate to increased cattle gains. Depressed weight gains, poor growth of calves, late estrous cycling of cows, and white muscle disease of calves are all livestock symptoms associated with nutrient deficiencies of cattle diets on these rangelands. There is a need for intense nutrition studies for better management of livestock on these grasslands.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.003 | 0.001 |
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".