The Recent Use of Plant-Growth-Promoting Bacteria to Promote the Growth of Agricultural Food Crops
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the past 15–20 years, the employment of Plant-Growth-Promoting Bacteria (PGPB) to facilitate the growth of agricultural food crops has increased dramatically. These beneficial soil bacteria, whose use and demonstrations of efficacy have previously been largely limited to the laboratory, have now been shown to be effective under field conditions. In addition, the mechanisms that these bacteria utilize to facilitate plant growth are now mostly well characterized. Moreover, several companies across the globe have commercialized a number of PGPB and there is every indication that this trend will continue to grow. As a consequence of these developments, in this review article, a large number of recent reports on the successful testing of many different types of PGPB and their effects on various food crops is discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it