Wheat grain Cd concentration and uptake as affected by timing of fertilizer N application
Bibliographic record
Abstract
Li, X., Ziadi, N., Bélanger, G., Yuan, W., Liang, S., Xu, H. and Cai, Z. 2013. Wheat grain Cd concentration and uptake as affected by timing of fertilizer N application. Can. J. Soil Sci. 93: 219-222. The effect of a single N application (120 kg ha-1) at seeding on wheat (Triticum aestivum L.) grain Cd concentration and uptake was compared with an equally split N application (seeding and the stem elongation stage) in a field experiment at 12 site-years. Averaged across all site-years, the single N application tended to reduce wheat grain Cd concentration (58 vs. 68 µg kg-1 DM) and uptake (151 vs. 191 mg ha-1) compared with the split application. The Cd concentrations, however, never exceeded the maximum acceptable level for Cd in wheat grain. A single N application at seeding might reduce the risk of high grain Cd concentration in spring wheat.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".