Preliminary report on seedling trials for introduction of seven exotic Quercus spp.
Bibliographic record
Abstract
The performances in Jiangsu of seven introduced Quercus species(including fifteen provenances) from North America have been investigated.Results indicated that there were significant differences among germination time,germination percentage and seedling growth(height and diameter)in various species and provenances.The seeds of Quercus stellata,provenances of Q.velutna from Iowa and Missouri germinated earliest.And the seed of provenances of Q.macrocarpus from Illinois,of Q.rubra from Arkansas and of Q.velutna from Ontario did next while all provenances of Q.nigra did latest.As for germination percentage,provenance of Q.velutna from Missouri(up to 83 3%) excelled that of Q.nigra from Texas(15 7%) and of Q.macrocarpus from Montana (20 0%).In yearling high growth,Q.robur showed best performance,and Q.rubra did next whereas Q.macrocarpus,Q.nigra,Q.vecutna and Q.alba did worst.An analysis was also made of the seasonal high growth rhythm of various species.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".