<i>Phoma nebulosa</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Phoma nebulosa . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. DISEASE: Generally considered a common soil-borne saprobe. It is often isolated from roots and rhizosphere soil such as reported in a study on soil sickness from a Citrus orchard (65, 4936). Also reported from seeds of Sesamum indicum (62, 1147; 68, 4885), as a post-harvest pathogen of Ziziphus mauritiana (73, 7307) and as causing disease of Spinacea oleracea (74, 5004). HOSTS: Plurivorous. On and from Abelmoschus, Acalypha, Acer negundo, Allium cepa, Althaea rosea, Amaranthus, Anarcardium, Arabis, Arachis, Arceuthobium, Artemisia, Bambusa, Begonia, Beta, Borassus, Brassica, Camellia, Cannabis sativa, Capsicum, Carica, Chamaecyparis, Chrysanthemum, Cicer, Citrullus, Citrus, Clematis, Cordyline, Conium, Cotoneaster, Daucus, Dianthus, Dracaena, Durio, Eschscholzia, Eucalyptus, Eugenia, Eutrema, Fragaria, Galium, Glichenia, Glycine, Gmelina, Gossypium, Helianthus, Hibiscus, Humulus, Impatiens, Lagenaria, Lamium sp., Limonium, Magnolia, Mercurialis perennis, Momordica, Murraya, Onobrychis viciifolia, Opuntia, Paeonia sp. (BOEREMA et al. , 1996), Pastinaca, Persea, Petroselinum sativa, Philodendron, Phoenix, Phlox, Pinus, Populus, Rubus, Sarcolobus, Scrophularia, Sesamum indicum, Solanum, Spinacea oleracea, Tectona, Thalictrum, Theobroma, Thymus, Trichosanthes, Triticum, Urena, Urtica dioica (on which it is very common, fide BOEREMA, 1976), Wasabia and Ziziphus mauritiana . Also from soil, plant litter, rotten fruit and vegetables, water, air, dog hair, sclerotia of Sclerotinia sclerotiorum and human sources. GEOGRAPHICAL DISTRIBUTION: Widespread. AFRICA: Egypt, Nigeria, Senegal. NORTH AMERICA: Canada, USA. CENTRAL AMERICA: Honduras, Jamaica, Trinidad & Tobago, West Indies. SOUTH AMERICA: Brazil. ANTARCTICA. ASIA: Burma, India, Malaysia, Saudi Arabia, Sri Lanka, Thailand. AUSTRALASIA: Australia, New Zealand. EUROPE: Austria, Belgium, Germany, Great Britain, Netherlands. TRANSMISSION: Soil-borne, but little else is known of other possible vectors.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.026 |
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".