Macro-relationships between regional-scale field pea (Pisum sativum) selenium chemistry and environmental factors in western Canada
Bibliographic record
Abstract
Garrett, R. G., Gawalko, E., Wang, N., Richter, A. and Warkentin, T. D. 2013. Macro-relationships between regional-scale field pea (Pisum sativum) selenium chemistry and environmental factors in western Canada. Can. J. Plant Sci. 93: 1059-1071. A baseline study of cultivar, temporal (2004-2006) and spatial variability in field pea (Pisum sativum) selenium (Se) concentration was undertaken in western Canada based on six common cultivars (295 samples) grown in 35 variety trials. Selenium was determined by atomic absorption spectroscopy following a HNO3 digestion. Non-significant differences in pea Se concentration occurred due to cultivar and temporal variability. Trial site soil organic C, pH, cation exchange capacity, soil texture estimates, and classifications were recovered from Agriculture and Agri-Food Canada's Canadian Soil Information System database. Twenty-five percent of the pea Se variability was due to soil edaphic factors, particularly organic C and pH, this increased to 39% with inclusion of great soil group classification. The remaining variability was due to growing season weather conditions, with hotter drier summers leading to higher Se concentrations. Naturally Se biofortified pulses are available to be targeted to selenium deficient populations.
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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) | 0.001 | 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 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".