<i>Torula herbarum</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Torula herbarum . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. DISEASE: Leaf and stem spots in plants; foot-rot of coriander; stem blight in Zizyphus mauritiana (small brown specks on bark near cut ends of branches, these spots enlarging into dark brown lesions and coalescing within 10-15 days, further stages being characterized by black broad strips of lesions, which progress towards the basal part of the tree); destruction of paper; biodeterioration of marble; decomposition of soil organic matter. HOSTS: Very common on or in dead herbaceous stems, wood (including artefacts such as baskets, cloth and furniture), soil, air, calcareous and siliceous rock, and artefacts such as concrete, linoleum, paper, sacking material and tiles. The fungus has also been observed in association with many other fungi. There are two records of this fungus being isolated from nasal swabs of Equus equus . GEOGRAPHICAL DISTRIBUTION: Cosmopolitan. AFRICA: Ethiopia, Ghana [as Gold Coast], Kenya, Malawi, Nigeria, Sierra Leone, South Africa (Transvaal), Tanzania, Uganda, Zambia [as Northern Rhodesia]. NORTH AMERICA: Canada (Ontario, Saskatchewan), USA (California, Colorado, Kansas, New Jersey, New York, Ohio, South Carolina, Texas, West Virginia). CENTRAL AMERICA: Cuba, Dominican Republic, Jamaica, Panama. SOUTH AMERICA: Argentina, Brazil (Pernambuco), Chile, Venezuela. ASIA: Bangladesh, China (Shaanxi, Zhejiang), Cyprus, India (Andhra Pradesh, Madhya Pradesh, Maharashtra, Uttar Pradesh), Japan, Malaysia, Pakistan, Philippines, Russia (Russian Far East), Sabah, Sarawak, Sri Lanka, Taiwan. AUSTRALASIA: Australia (Queensland, Victoria), New Caledonia, New Zealand. EUROPE: Austria, Belgium, Czech Republic, Denmark, France, Germany, Great Britain, Greece, Ireland, Italy, Netherlands, Poland, Russia, Sweden, Ukraine. TRANSMISSION: By dissemination of air-borne conidia.
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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 | 0.000 | 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".