Diseases diagnostic tool for ginseng growers
Bibliographic record
Abstract
Diseases diagnostic tool for ginseng growers Ginseng (Panax quinquefolius L.) is a valuable community crop in Ontario, but its long term viability is threatened by ginseng replant diseases that prevent successful cultivation of ginseng on the same land twice, even decades after the first crop.It is estimated that suitable land for ginseng production will be depleted in the next 20 to 30 years.This study will develop ideally a PCR-based diagnostic tool,for the ginseng grower to predict the diseases potential of soil intended for ginseng cultivation but with no known history of ginseng cultivation.This study uses metagenomic analysis approach that explains changes in community compositions over time in ginseng garden soil which causes Diseases.This study will facilitate understanding how the cultivation of ginseng in the field alters the soil microbiome.Consequently, this research will significantly help ginseng growers to better assess the risk of investing in a specific property before committing to its purchase.
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 | 0.000 | 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 | 0.000 |
| 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".