Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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 F 5 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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it