● Price Per Bushel: 4.70 ● Value of Production: 1,095,000 Dry Pea Production Areas in Montana:
Bibliographic record
Abstract
Field pea can be grown on a wide range of soil types, from light sandy to heavy clay. Field pea has moisture requirements similar to those of cereal grains. However, peas have lower tolerance to saline and water-logged soil conditions than cereal grains. Peas most often will die after 24 to 48 hours in a water-logged condition. Poorly drained and saline or alkaline soils The Crop Profile/PMSP database, including this document, is supported by USDA NIFA. should be avoided when growing peas. Field peas are most often grown on recrop following small grain with residual nitrogen levels of 30 to 40 pounds per acre. Being a legume, field pea will fix the majority of required nitrogen if the proper rhizobia are present. Residual nitrogen will also be present for the succeeding crop. Fields that have a history of perennial weed problems such as quackgrass, Canada thistle, perennial sowthistle, and field bindweed should be avoided. Residual herbicides such as Tordon, Finesse, Amber, Ally, Peak, Assert, and Curtail will severely damage pea seedlings. These herbicides can remain in the soil from two to five years after application, and consulting the label of these herbicides for rotational restrictions prior to seeding pea is a must. Dry peas are a cool-season annual crop, classified as a grain legume or pulse. Dry peas emerge and perform well planted in a variety of seedbeds including direct seeding into grain residue. Dry peas typically are grown following winter wheat or
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.865 | 0.856 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".