Research on Advance of Rice False Smut Ustilaginoidea virens (Cooke) Takah Worldwide: Part I. Research Status of Rice False Smut
Bibliographic record
Abstract
Since hybrid rice was planted, rice false smut (RFS) caused by Ustilaginoidea virens (Cooke) Takah has risen from a sporadic secondary disease to a major devastating and common disease, due to the changes in climatic conditions, cultivation system, fertilization and water management and cultivar replacement, and has become one of the new three major rice diseases in China. In addition to cause rice yield decrease and economic losses, RFS also causes toxic effects on humans and animals, due to the fact that the pathogen has color, produces toxins, affects rice appearance, and reduces rice quality. Therefore, RFS has attracted great attention from various governmental agencies, research institutions and scientists. More than 300 papers related to RFS composed over the past 100 years were reviewed. In this part, the occurrence, epidemiology of RFS, the relationship between occurrence sverity of RFS and yield loss, field distribution pattern and sampling method of RFS and disease severity classification were discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".