The Study on the Promoting Effect of Rhizosphere Microorganisms on the Growth of Tissue-Cultured Ginseng and Its Mechanisms
Bibliographic record
Abstract
This study looks at how microbes around the roots affect the growth of tissue-cultured Anoectochilus roxburghii (also known as golden thread orchid). Some helpful bacteria, called PGPR, and certain fungi can make it easier for plants to use nutrients in the soil. As a result, the plants grow bigger and produce more ginsenosides, which are valuable compounds. A fungus called Mortierella alpina also helps by stopping harmful germs from spreading, which lowers the chance of disease and keeps the plant healthy. The study also tried mixing PGPR, good fungi, and organic fertilizer. This mix helped the plants grow better and reduced the need for chemical fertilizers, which is better for the soil and environment. In the future, researchers can study more about how these microbes and plants work together. This could help improve how we grow golden thread orchid and support more eco-friendly farming.
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 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 | 0.001 |
| 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 | 0.001 | 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".