The Growth of One Year-Old Oil Palms Intercropped with Soybean and Groundnut
Bibliographic record
Abstract
The objective of this research was to determine appropriate annual food crops in the areas of a year-old oil palm. Field trials were arranged in a single factor of randomized completely block design. A factor to be tested was the species of annual food crops, namely, soybeans and groundnuts. Controls in this study were monocultures of oil palm, soybean and groundnuts. The results showed that soybean and groundnut could give high yields when planted between rows of one year-old oil palms, which were similar to the yield of those crops in the monoculture system. In addition, the presence of soybean and groundnut between the rows of one year-old oil palms was found not inhibiting the growth rate and development of oil palms as the main crop. On the contrary, there was a tendency that the oil palms planted with soybeans and groundnut to grow faster than those planted in monoculture.
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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 | 0.000 |
| 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 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".