Exposing<i> Viburnum edule</i> seeds to a sequence of temperatures affects the germination characteristics
Bibliographic record
Abstract
For many species of Viburnum , exposure to two distinct stratification sequences warm to cold or cold to warm may break embryo dormancy to initiate significant germination. Seeds of Viburnum edule were collected and moved through a series of cold-warm (4/20°C) or warm-cold (20/4°C) stratification to better understand precisely which temperature sequences and duration improve germination percentage (GRP), mean germination time (MGT), germination synchrony (SYN) and uncertainty (UNC), and time for seeds to reach 50% germination (t50). Seeds kept in cold-warm temperature sequences, on average, improved GRP by 24%, reduced MGT by 216 days and t50 by 97 days compared with those in the warm-cold stratification sequence. The warm-cold temperature sequence was more advantageous in improving the SYN (0.94 vs. 0.51) and reducing the UNC (0.21 vs. 0.96) indices than the cold-warm temperature sequence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".