Bibliographic record
Abstract
● Washington ranks #1 in U.S. lentil production, with 43 % of total national production. ● In 2000, 85,000 acres of lentils (including contracted "Brewer " type, Crimsons, Pardinas, French Greens, Estons, Red Chiefs, Lairds, Emeralds, and Richleas) were seeded. ● 10-year average yield is 1150 pounds per acre. ● The 1997 price of $0.12 per pound provided a cash value of $10.97 million. Reports for crop years 1998 and 1999 show lentil prices dropping to the $0.07 per pound range. ● Production cash costs average $83 per acre, with fixed costs at $128 per acre. With returns of $120 in 1999, this results in a net loss. ● Costs and returns are beginning to increase due to new technologies and the trend toward contracts for specialty lentils. ● The price of lentils in Washington is dependent on the Canadian crop and price structure.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.144 | 0.073 |
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".