Volunteer canola (Brassica napus L.) interference with soybean (Glycine max L. [Merr.])
Bibliographic record
Abstract
Soybean (Glycine max L. [Merr.]) has become a popular crop choice for producers in Manitoba. In 2012 and 2013, 6 paired field experiments were established across southern Manitoba, three experiments seeded with a row-spacing of 25 cm, and three seeded with a row-spacing of 75 cm. Increasing densities of volunteer canola were broadcasted to determine the action threshold in soybean as well as evaluate soybean growth and development parameters. Height and branching were determined to be important parameters. The action threshold in narrow row-spaced soybean was 3.0 plants m-2 while the wide row-spaced soybean action threshold was 2.7 plants m-2. Digital images were captured between V3 and V4 to determine if early-season volunteer canola and soybean ground cover can be related to yield loss in soybean. There were no apparent differences between row types for image analysis and the method shows promise relating early-season ground cover to soybean yield loss.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".