<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 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".