<i>Ramularia vallisumbrosae</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Ramularia vallisumbrosae . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. DISEASE: White mould. Infects the leaves and stems of daffodils, causing leaf spots, and can cause the leaves to die down early, which reduces flowering in the following year. HOSTS: Leucojum vernum, Narcissus biflorus, N. odorus, N. poeticus and N. pseudonarcissus, Pancratium maritimum and numerous Narcissus cultivars ( Amaryllidaceae ). GEOGRAPHICAL DISTRIBUTION: NORTH AMERICA: Canada (British Colombia), USA (Oregon, Washington). EUROPE: Denmark, France, Great Britain, Ireland, Italy, Latvia, Norway, Poland, Portugal, Spain, Ukraine. TRANSMISSION: The fungus survives in the dead leaves as sclerotia, which in turn germinate to produce conidia when the new leaves emerge. The fungus is also spread between plants by wind and water splash.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.016 |
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".