The response of prechilled alder and birch seeds to drying, freezing, and storage
Bibliographic record
Abstract
The response of alder (Alnus glutinosa (L.) Gaertn.) and birch (Betula pubescens Ehrh.) seeds to freezing temperatures was assessed. Seeds were fully imbibed (FI) or adjusted to target moisture contents (TMC) of 30% (alder) or 35% (birch) and then chilled (4 °C) for various periods. Some seeds were redried to <12% moisture content before freezing. The seeds were germinated at 15 °C with 8 h of lighting after freezing. In the first experiment, rapid freezing at 12 °C was used to assess seed vigour. Freezing reduced percentage germination in the moist (non-redried) FI seeds, especially in those that received the longest prechilling. Freezing had a smaller effect on the TMC and the redried seeds. In the second experiment, seeds were stored for up to 60 weeks at 3 °C. Seeds stored for 60 weeks were tested also at 20 °C (16 h dark) : 30 °C (8 h light). Good germination potential was maintained for up to 12 weeks of storage regardless of pretreatment, but it declined rapidly thereafter in the moist FI seeds. Moist TMC seeds maintained good germination potential throughout the 60 weeks of storage. Germination potential declined greatly following 24 weeks of storage in the redried seeds, but the redried seeds germinated well at 20 °C (16 h dark) : 30 °C (8 h light) following 60 weeks of storage.
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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".