Agronomic Components of Brown Linseed as a Function of Spacing
Bibliographic record
Abstract
The objective of this study was to evaluate the behavior of brown linseed, submitted to different spacing between lines. The experiment was carried out at the Federal University of Santa Maria, Frederico Westphalen Campus, under a typical eutrophic Red Latosol, from September to December 2013. The experimental design was a randomized complete block design with four replications and four treatments, with experimental plots of 4.0 × 3.0 meters, totaling 12.0 m². The treatments consisted of four line spaces, 17, 34, 51 and 68 cm. The following parameters were evaluated: dry matter, plant height, stem diameter, weight of one thousand seeds and grain yield. The spacing of 0.17 m was the one that stood out showing higher yield and agronomic characteristics favorable to the crop, such as a smaller stature of important plant from the point of view of a lower lodging and a greater production of dry matter, and consequently residual straw for cultivation in succession, this being a basic premise in areas under no-tillage system.
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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".