Bibliographic record
Abstract
‘Riveland’ (Reg. No. CV‐32, PI 649919) lentil (Lens culinaris Medik.) was released by the USDA‐ARS (Pullman, WA) in cooperation with Washington State University Agricultural Research Center, University of Idaho Agricultural Experiment Station, and North Dakota State University Agricultural Experiment Station in June 2007. Riveland was released on the basis of exceptionally large seed size, broad adaptation to U.S. production zones, excellent seed quality, and high yield potential. Riveland was named after Neil Riveland, agronomist, North Dakota State University, Williston Research Extension Center, Williston, ND. Riveland was selected as an F5 plant row in 1998. It originated from the cross ‘Laird’/VW000412 (cross number X95L073) made by F.J. Muehlbauer in 1995. Laird is a large‐seeded yellow‐cotyledon cultivar developed in Canada by A.E. Slinkard, and VW000412 is a large‐seeded breeding line developed by V.E. Wilson, a USDA‐ARS agronomist at Pullman (retired).
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.011 |
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".