Reassessment of the pits and antipits in soybean seeds
Bibliographic record
Abstract
A soybean (Glycine max (L.) Merr.) cotyledon has a concave region on its abaxial center called a pit, and the seed coat has a corresponding convex region on its inner surface called an antipit. While it is clear that the pit is lined with large epidermal cells, the anatomical identity of the antipit has been a subject of confusion. The inner surface of the seed coat consists of a compressed endosperm tissue that is subtended by an aleurone layer. In the antipit region of the seed coat, additional endosperm cells are situated between the aleurone layer and the compressed endosperm tissue. These endosperm cells, called cone cells, are similar to ordinary aleurone cells in basic structure. In the present study, it is demonstrated that the surface ornamentations of the antipit are a print of the pit on the compressed endosperm tissue. The functional aspects of the antipitpit complex are not known. It was previously postulated that the antipitpit region has an enhanced capability of nutrient translocation to the growing embryo, but there is little evidence to support this hypothesis. Alternatively, the antipitpit association may provide a structural feature that anchors the embryo within the seed coat while contributing to an overall spherical shape of the seed.Key words: antipit, endosperm, Glycine max, pit, seed coat, soybean.
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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 | 0.000 | 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) | 0.001 | 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 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".