<i>Pythium dissotocum</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Pythium dissotocum . Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. DISEASES: Root-rot, seedling damping-off; necrotrophic or parasitic on fishes. HOSTS: Daucus carota ( Apiaceae ); Lactuca sativa, Parthenium argentatum ( Asteraceae ); Beta vulgaris, Spinacea oleracea ( Chenopodiaceae ); Cucumis sativus ( Cucurbitaceae ); Kummerowia stipulacea, Lupinus digitatus, L. polyphyllus, Medicago sativa, Phaseolus vulgaris, Pisum sativum, Vicia faba ( Fabaceae ); Pelargonium cv. ( Geraniaceae ); Hydrilla verticillata ( Hydrocharitaceae ); Iris sp. ( Iridaceae ); Garya illinoensis ( Juglandaceae ); Hyacinthus cv., Tulipa cv. ( Liliaceae s.l .); Papaver somniferum ( Papaveraceae ); Oryza sativa, Saccharum officinarum, Triticum aestivum ( Poaceae ); Fragaria × ananassa, F. vesca, Prunus persica ( Rosaceae ); Citrus nobilis ( Rutaceae ); Capsicum annuum, Lycopersicon esculentum ( Solanaceae ); Pilea pumila ( Urticaceae ). Neogobius fluviatilis, Neogobius gymnotrachelus, Perccottus glenii, Pseudorasbora parva ( Pisces ). GEOGRAPHICAL DISTRIBUTION: AFRICA: South Africa. NORTH AMERICA: Canada, USA (Arizona, Colorado, Louisiana, Missouri, Pennsylvania, Wisconsin). ASIA: China, India, Indonesia (Sabah), Japan, Korea, Lebanon, Russia. AUSTRALASIA: Australia (Queensland). EUROPE: Great Britain, Iceland, Netherlands. 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.024 | 0.017 |
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".