Bibliographic record
Abstract
In order to study the effects of N and density interaction on K accumulation in different soybean organs and yield,a field experiment was conducted with soybean cultivar Dongnong 52,using a split-plot design with two N application patterns( a single application of N 60 kg·ha- 1as basal fertilizer; starter-N 18 kg·ha- 1as basal fertilizer followed by N 42 kg·ha- 1as topdressing at R4 stage) and three densities( 200 thousand plants·ha- 1,250 thousand plants·ha- 1and 300 thousand plants·ha- 1). The results showed that after R5 stage,K accumulation in soybean organs of starter-N plus topdressing N was higher than using N as basal fertilizer under the same density. With the density increasing,K accumulation in soybean organs increased under the same N pattern. At R6 stage,except for K accumulation in soybean petioles,D2N2 and D3N2 reached significant difference with D1N1 in other soybean organs. At R8 stage,K accumulation in seeds of D2N2 and D3N2 were higher than D1N1 by 24. 9% and 23. 5%( P 0. 05). D2N2 had the highest yield,3. 96 t·ha- 1,increased by 10. 6%-36. 6% compared with other treatments( P 0. 05).
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".