Artificially applied vanillic acid changed soil microbial communities in the rhizosphere of cucumber (<i>Cucumis sativus</i>L.)
Bibliographic record
Abstract
Zhou, X. and Wu, F. 2013. Artificially applied vanillic acid changed soil microbial communities in the rhizosphere of cucumber (Cucumis sativus L.). Can. J. Soil Sci. 93: 13–21. Phenolic acids (PAs) have been implicated as autotoxins of cucumber (Cucumis sativus L.), but doubts about the importance of these compounds also exist due to their low concentrations in the field. The physiological alterations caused by PAs are concentration dependent, and the range of bioactivity is between 0.1 and 1 mM. Here, vanillic acid (VA) (0.02, 0.05, 0.1, 0.2 µmol g−1 soil) was applied into the soil every other day for five times. The effects of VA on C. sativus seedling growth and rhizosphere soil microbial communities were evaluated. Soil bacterial and fungal community structures and sizes were analyzed with polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) and real-time PCR methods, respectively. Vanillic acid significantly inhibited C. sativus seedling growth at concentrations ≥ 0.05 µmol...
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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) | 0.001 | 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".