DISEASE CAUSING PHYTOPATHOGENIC MICROMYCETES IN CITRUS IN UZBEKISTAN
Bibliographic record
Abstract
This research work provides information on phytopathogenic micromycetes that cause major and emerging diseases posing a significant threat to the cultivation of citrus in Uzbekistan. The purpose of the study is to develop strategies for the management of diseases by biological methods and to improve the methods of eliminating the causative agents of diseases, as well as to determine the effectiveness of micromycetes with high antifungal properties in the cultivation of citrus. The issues affecting the citrus industry and scientific recommendations to overcome those issues are discussed. Micromycetes of phytopathogens that cause diseases in the roots, rhizosphere and leaves of lemon and tangerine in closed ground conditions, including Fusarium vasinfectum, Verticillium dahliae, Alternaria alternata, F . semefectum , Aspergillus oryzae , A . flavus , Penicillium funiculosum , F . sporotrichiella , Aspergillus sp. , A . terreus , P . chrysogenum , P . digitatum , F . solani, P . sp. 1 , A . sp. 2 , A . sp. 3 , F . sp. 1, P . sp. 2, F . sp. 2, A . sp. 4, F . sp. 3 were identified.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".