<i>Pythium sylvaticum</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Pythium sylvaticum . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. DISEASES: Seedling damping-off. HOSTS: Apium graveolens, Daucus carota ( Apiaceae ); Dieffenbachia sp. ( Araceae ); Lactuca sativa ( Asteraceae ); Brassica campestris subsp. pekinensis, B. oleracea ( Brassicaceae ); Beta vulgaris, Spinacea oleracea ( Chenopodiaceae ); Cucumis sativus ( Cucurbitaceae ); Chamaecyparis sp., Juniperus conferta ( Cupressaceae ); Dioscorea batatas ( Dioscoreaceae ); Rhododendron sp. ( Ericaceae ); Glycine max, Lens culinaris, Medicago sativa, Phaseolus vulgaris, Pisum sativum ( Fabaceae ); Pelargonium cv. ( Geraniaceae ); Allium cepa, Tulipa cv. ( Liliaceae s.l .) Abies sp., Pinus thunbergii ( Pinaceae ); Hordeum vulgare, Triticum aestivum ( Poaceae ); Fragaria × ananassa, Malus domestica, Sorbus aria ( Rosaceae ); Capsicum annuum ( Solanaceae ); Valerianella locusta ( Valerianaceae ). GEOGRAPHICAL DISTRIBUTION: AFRICA: Kenya, South Africa. NORTH AMERICA: Canada (British Colombia), USA (Georgia, Idaho, Illinois, New York, Tennessee, Washington, Wisconsin). CENTRAL AMERICA: Costa Rica. ASIA: Japan. AUSTRALASIA: New Zealand. EUROPE: Bulgaria, Czech Republic, France, Germany, Great Britain, Ireland, Netherlands, Slovak Republic, Spain, Sweden. TRANSMISSION: Contaminated soil, organic matter (oospores) and water (sporangia).
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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".