<i>Neofabraea</i> species associated with bull's-eye rot and cankers of apple and pear in the Pacific Northwest
Bibliographic record
Abstract
Species-specific primers for four species of Neofabraea associated with apple and pear fruit diseases were used in multiplex PCR assays to identify 29 putative Neofabraea isolates, primarily isolated from bull's-eye rot on pears from packing houses in Washington and Oregon. Apples were inoculated with these isolates, and tentative identifications based on morphology of conidia forming on wound-inoculated fruits were compared with identifications made using species-specific primers for different Neofabraea species. PCR-based identifications were successful for 26 of 29 isolates, and in all cases were consistent with tentative identifications based on spore morphologies. The results revealed that in addition to the two species of Neofabraea already known to occur in the Pacific Northwest, N. malicorticis and N. perennans, a third species, N. alba, is also prevalent.
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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 | 0.000 |
| 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 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".