Bibliographic record
Abstract
Abstract A new distribution map is provided for Erysiphe heraclei D.C. Leotiomycetes: Erysiphales. Hosts: Many, but especially carrot ( Daucus carota ), dill ( Anethum graveolens ), coriander ( Coriandrum sativum ) and parsley ( Petroselinum crispum ). Information is provided on the geographical distribution in Europe (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Irish Republic, Italy, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Portugal, Romania, Russia, Siberia, Spain, Canary Islands, Mainland Spain, Sweden, Switzerland, UK, England, Wales and Ukraine), Asia (Afghanistan, Azerbaijan, China, Gansu, Henan, Hong Kong, Yunnan, Republic of Georgia, India, Bihar, New Delhi, Himachal Pradesh, Jammu and Kashmir, Karnataka, Kerala, Madhya Pradesh, Rajasthan, Uttar Pradesh, Iran, Iraq, Israel, Japan, Jordan, Kazakhstan, Korea Republic, Lebanon, Mongolia, Myanmar, Pakistan, Saudi Arabia, Sri Lanka, Taiwan, Tajikistan, Turkey, Turkmenistan, Uzbekistan and Yemen), Africa (Egypt, Ethiopia, Libya, Morocco, South Africa, Sudan and Tanzania), North America (Canada, Manitoba, Mexico, USA, California, Florida, New York, North Carolina and Washington), Central America and Caribbean (Puerto Rico), South America (Argentina, Brazil, Sao Paulo, Chile and Venezuela) and Oceania (Australia, New South Wales, Queensland, South Australia, Tasmania and Victoria).
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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) | 0.001 | 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".