Evaluation of an extant model for the excretion of phosphorus and nitrogen from swine fed diets with and without microbial phytase
Bibliographic record
Abstract
An extant model was evaluated to assess its adequacy for nutrient management planning for swine operations in Manitoba with regards to phosphorus (P) and nitrogen (N) excretion and the land base for the optimum spreading of manure based on P requirement of crops. Two dietary treatments were used, control diet formulated to meet the requirement of pigs for nutrients as per the recommendations of NRC (No-phytase) and a diet formulated with P level in the No-phytase diet reduced by an average of 0.1 percentage units and amended with microbial phytase at 500 FTU/kg (Phytase). Data was generated from starter to finisher pigs (10 per dietary treatment) and sows (9 per dietary treatment) to evaluate the model. The model was found to be adequate for the prediction of P outputs from starter to finisher but not sows. Model was found to be inadequate for prediction of N output.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".