First report of ‘ <i>Candidatus</i> Liberibacter asiaticus’ affecting sour orange in urban areas of Mayabeque, Cuba
Bibliographic record
Abstract
Abstract ‘ Candidatus Liberibacter asiaticus’ (CLas) is an unculturable, Gram-negative, phloem restricted plant pathogenic bacterium associated with a very serious disease of citrus worldwide known as Citrus Huanglongbing (HLB). CLas is widely spread in the Americas. In Cuba, CLas has been associated with HLB symptoms and has seriously affected the Cuban citrus industry. In this short communication we discuss the identification of CLas-infected sour orange in urban areas of Mayabeque Province in Cuba, an area previously unexplored for the presence of HLB, and a host widely cultivated in gardens and yards along Cuba. We used for the first time the bacteria molecular barcode chaperonin-60 universal target ( cpn60 UT) to identify and to detect CLas in HLB-symptomatic host plants.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".