Bibliographic record
Abstract
Strategies for surviving an environmental stress in winter can differ from those that provide protection from the same stress when it occurs in summer. During the growing season, escape mechanisms from stresses tend to prevail, as periods of adversity are generally brief. In winter, adverse environmental conditions have a high probability of persisting for lengthy periods and consequenctly, survival depends on tolerance. Spring is a period of uncertainty as to whether the risk of flooding has passed, and seeds differ markedly in their ability to resume germination if interrupted by re-imposition of winter conditions. When growing plants are flooded in summer, brief periods of accelerated anaerobic metabolism can alleviate energy shortages while improved aeration tissues develop, which then remove the dangers of prolonged anaerobiosis. By contrast, overwintering species, if they are highly tolerant of prolonged anoxia, may down-regulate metabolism when flooded and thus reduce the risk of exhausting carbohydrate supplies. Ventilation of underground organs in winter is still possible but is dependent on specialized mechanisms that can provide a through flow of air from emergent stems to buried or submerged organs. The tree form also presents metabolic and morphological problems for surviving wet conditions at critical seasons.Key words : anoxia, flooding summer, winter stress, plants, crops.
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) | 0.001 | 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".