AAC Mountainview sainfoin (<i>Onobrychis viciifoila</i> subsp. <i>Viciifolia</i>)
Bibliographic record
Abstract
Acharya, S. N. 2015. AAC Mountainview sainfoin (Onobrychis viciifoila subsp. Viciifolia). Can. J. Plant Sci. 95: 603–607. AAC Mountainview sainfoin (Onobrychis viciifoila subsp. viciifolia) was developed by the Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta. This cultivar, tested as LRC 3902 in Western Forage Trials and in other trials, was derived from parental clones selected for improved persistence in mixed stands with alfalfa and regrowth after cutting. When grown under irrigated and rain-fed conditions of western Canada LRC 3902 out yielded Nova (check) by 22 to 42% in pure stands and 30 to 39% in mixed stands with alfalfa in some locations. This cultivar matures 7–10 d earlier than Nova and has slightly larger seed than Nova (20–24 g 1000 seeds−1 vs. 18–22 g). Although it can be grown for hay and pasture by itself, AAC Mountainview is well suited for preventing pasture bloat in mixed alfalfa stands without loss in animal productivity. Breeder seed for the cultivar will be produced by AAFC, and the multiplication and distribution rights were awarded to NorthStar Seeds through a competitive process.
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) | 0.000 | 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) | 0.056 | 0.009 |
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".