Identification of<i>Phoma macdonaldii</i>Boerema causing black stem of sunflower in China
Bibliographic record
Abstract
Abstract A severe disease was observed on sunflower (Helianthus annuus L.) in Ili, Xinjiang China, in 2005. The causal agent was isolated from infected tissues, and its pathogenicity confirmed. Pathogenicity tests showed that the fungus could infect sunflower, which developed the same symptoms under artificial inoculation conditions to those observed in the field. The fungus was identified based on morphological and cultural characteristics as Phoma macdonaldii Boerema. Identifications were confirmed by comparison of the 18S rDNA partial sequence, 28S rDNA partial sequence, and the internal transcribed spacer (ITS) regions 1 and 2, including 5.8S rDNA (ITS1‐5.8S-ITS2). This is the first report of black stem of sunflower caused by P. macdonaldii in China.
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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 | 0.001 | 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".