Bibliographic record
Abstract
We rarely consider whether and how plants benefit from making antioxidant-rich fruits, despite our dependence on fruits as routine sources of these compounds. The hypothesis presented here is that storage of the antioxidant materials is advantageous to the survival of the plant species. This hypothesis is based on the premise that at different stages from flower bud opening to seedling formation, the concentrations of the reactive oxygen species (ROS) needed vary tremendously. Exposing seeds of several plant species to ROS aids germination. However, ROS can cause considerable damage by mutagenesis during plant embryogenesis. It is suggested that the antioxidant-rich environment in fruits protects the developing plant embryos from this damage. It also allows for an antioxidant environment for packaging the embryos into seeds with tight seed coats. After fruit maturation and seed dispersal, a prolonged exposure to oxygen and moisture enables the seeds to produce the ROS needed for seed germination. There is a simultaneous increase in the ROS scavenging systems to allow for protection of the dividing cells afterwards. These observations are unified into the hypothesis that the antioxidant rich fruits aid in the survival of plant species, and discussed in the context of vascular plant evolution.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".