Studying On The Growth Characteristics of The Black Spruce and the White Spruce During the seedling stage
Bibliographic record
Abstract
Through this experiment we studied the growth characteristics of 3 Canadian provenances of Black Spruce and 4 Canadian provenances of White Spruce and the local species of Picea Koraiensis during the seedling stage.analyzing of data of height and radial growth of annual seedling in during the seedling stage,the results showed that height growth of 3 Chinese Spruce species in during the seedling stage.The radial growth wasn't significantly different.The order of the height growth of 3 Chinese Spruce species during the seedling stage is:White Spruce Black Spruce Picea Koraiensis.At the same time we have also done the provenance trials of Black Spruce and the White Spruce.The results indicate that the provenance of the 7th White Spruce and the 3rd Black Spruce has better adaptability of height and radial growth in this area.So they can be the superior provenances of this introducing experiment.
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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 | 0.001 | 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".