Bibliographic record
Abstract
In order to select proper revetment plant to apply in the rock slope protection, we used Cynodon dactylon as control to investigate the effect of cold stress on two wild revetment plants (Pogonatherum paniceum and Eriophorum comosum) in current study. With the dropping of temperature (0°C, -5°C, -10°C, -15°C, -20°C), the content of soluble sugar, soluble protein, and free proline in these three plants rose first, and then decreased. Meanwhile, the chlorophyll content declined, but the electrolyte osmotic rate increased. Under the five different temperatures, the content of soluble sugar and soluble protein were highest (P < 0.05) in E. comosum, the lowest (P < 0.05) in C. dactylon, and P. paniceum in the middle. The free proline contents in E. comosum was similar to P. paniceum at -15°C, and -20°C, but both of them were significant greater than that in C. dactylon (P < 0.05). Additionally, C. dactylon had the highest electrolyte osmotic rate, and E. comosum was the lowest. Meanwhile, the semilethal low temperature was the lowest (-13.6°C) in E. comosum as compared to C. dactlylon (-6.86°C) and P. paniceum (-9.37°C). Both the contents of Chlorophyll a and Chlorophyll b were highest in P. paniceum, lowest in C. dactylon, and those in E. comosum were medium. These suggested that E. comosum may have the strongest cold resistance capacity, and that in C. dactylon was the weakest. The results showed that E. comosum was the best option to the rock slope protection due to their strongest anti-cold ability among these three grasses.
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 | 0.000 | 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 | 0.001 |
| 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".