054 A New Fresh Market Spinach
Bibliographic record
Abstract
The current national trends in nutrition have resulted in a very high interest in the benefits of proper diet. It is very apparent that adding foods high in antioxidants to the human diet can have drastic affects on human health by reducing the risk of cancer, cardiovascular and pulmonary disease, as well as age-related degenerative diseases. It is well-known and well-documented that spinach is one of the very best vegetables in antioxidant potential. It is high in beta-carotene (provitamin A) and is also very high in lutein (a carotenoid that is a strong antioxidant but with no vitamin A activity). Lutein has also been documented to have the potential to significantly reduce macular degeneration in humans when added to the diet on a regular basis. With these health benefits in mind the Univ. of Arkansas is releasing the spinach breeding line that has been tested as 88-310. It is a slow-growing semi-savoy that exhibits excellent color and has a moderate level of white rust resistance. It has excellent plant type, producing a very attractive compact rosette plant that is very desirable for root cut whole plants or for various types of clipped spinach. It is best-suited to both fall and overwinter production in Arkansas and for winter production in the Texas wintergarden. Seed for tests can be obtained by contacting T.E. Morelock, Dept. of Horticulture, Univ. of Arkansas, Fayetteville, AR 72701.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.097 | 0.020 |
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".