Bibliographic record
Abstract
Acharya, S. N. and Steppuhn, H. 2012. Bridgeview alfalfa. Can. J. Plant Sci. 92: 203-206. Bridgeview salt tolerant alfalfa (Medicago sativa L.) was developed by the Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta in cooperation with the salt laboratory at Semiarid Prairie Agricultural Research Centre, Swift Current, Saskatchewan. This synthetic cultivar, tested as SC-A101 in the Western Forage Testing System (WFTest), was developed for improved seedling vigor and high forage yield under saline conditions. This cultivar yielded about 1% better than Beaver check in the WFTest over 36 location years. The pedigree of this cultivar consists of saline tolerant selections from Apica, AC Blue J, Barrier, Beaver, Heinrichs, Rangelander and Roamer alfalfa. This cultivar produced higher dry matter yield than Beaver in the third year of a test conducted in a naturally saline seep area in Vauxhall, AB. SC-A101 was found to perform significantly higher emergence, survival and biomass production than Rangelander alfalfa in an indoor test at salt levels higher than 16 dS m-8. Bridgeview was registered by CFIA on 2011 May 16 (Reg. No. 7018) and was licensed to SeCan for seed multiplication and distribution. This cultivar is well suited for hay production in western Canada.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.029 |
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".