Timothy Yield and Nutritive Value by the CATIMO Model: III. Validation for Eastern Canada
Bibliographic record
Abstract
The Canadian Timothy Model (CATIMO) is a mechanistic simulation model of timothy ( Phleum pratense L.) growth and nutritive value that features radiation interception and use efficiency, leaf and stem growth, leaf senescence, a N function based on the critical N concentration of whole plants, and cell wall (CW) concentration and digestibility of leaves and stems; the model was calibrated with measurements of timothy primary growth from one location (Fredericton, NB, Canada). In this paper, we compare the predictions of the CATIMO model with measurements from a total of six experiments conducted at four locations that cover the pedo‐climatic conditions of eastern Canada (Lévis, QC; Nappan, NS; Normandin, QC; St. John's, NF). Across experiments, the root mean square errors (RMSE) for dry matter (DM) yield varied from 30.9 to 265.9 g DM m −2 and averaged 123.9 g DM m −2 . Omitting one experiment in 1999, however, reduced the overall RMSE to 72.6 g DM m −2 , which is very close to the 65.9 g DM m −2 reported for calibration. The RMSE values across experiments for N concentration (0.013 g g −1 DM), in vitro true dry matter digestibility (0.052 g g −1 DM), CW concentration (0.104 g g −1 DM), and CW digestibility (0.064 g g −1 CW) were higher than those obtained at the calibration site. At three of four locations, however, RMSE values were close to those of the calibration site. The CATIMO model seems robust enough to apply to situations different than those used for calibration, at least within eastern Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".