Bibliographic record
Abstract
The forest vegetation of Mt. Inwang was surveyed from August to October 2014. The vegetation of Mt. Inwang classified into 12 main communities according to the phisiognomic dominant species: P. densiflora commintity, P. densiflora-Prunus sargentii commintity, P. densiflora-Quercus mongolica commintity, P. densiflora-R. pseudoacacia commintity, Q. acutissima commintity, Q. acutissima- P. densiflora commintity, Q. acutissima-R. pseudoacacia commintity, Quercus variabilis commintity, Robinia pseudoacacia commintity, R. pseudoacacia-Pinus. densiflora commintity, R. pseudoacacia- Quercus acutissima commintity, R. pseudoacacia-Quercus serrata commintity. In addition, we identified the P. densiflora commintity distributed around the mountain top rocky ridge area, and R. pseudoacacia community is bordered on the inhabitant in the foot of mountain. P. densiflora-P. sargentii commintity showed higher species diversity than other communities. The degree of green naturality (DGN) 7 occupied 46.8% and DGN 6 occupied 40.6% of Mt. Inwang area. The coverage of herb layer of plant community was poor of 10%, shrub layer was 30~40%, and tree layer was 80% in all plant communities. However the coverage of sub-tree layer was very thin in pine tree communities. The frequency distribution in DBH-class of P. densiflora in the P. densiflora community showed scarce distribution of small diameter trees, and was opposed to the R. pseudoacacia that had large individuals of small diameter in the R. pseudoacacia community. The net primary productivity (NPP) was assumed as 1,504.42 g/m2/yr(use temp.) by Miami model, and 1,483.99 g/m2/yr by Montreal model, respectively.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".