Bibliographic record
Abstract
Abstract A new distribution map is provided for Cronartium ribicola J.C. Fisch. Fungi: Basidiomycota: Uredinales Hosts: 5-needled pines such as Pinus strobus, Pinus lambertiana, Pinus monticola, Pinus koraiensis, Pinus pumila, Pinus parviflora; also Ribes spp. Information is given on the geographical distribution in EUROPE, Austria, Belarus, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Mainland France, Germany, Hungary, Ireland, Italy, Mainland Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Romania, Central Russia Russia, Eastern, , Russian Far East Slovakia, Spain, Sweden, Switzerland, UK, England and Wales, Northern Ireland, Scotland, Ukraine, Yugoslavia (Fed. Rep.), ASIA, China, Gansu, Heilongjiang, Jilin, Liaoning, Shaanxi, Xinjiang, India, Jammu and Kashmir, Iran, Japan, Hokkaido, Honshu, North Korea, Korea Republic, Nepal, Pakistan, Taiwan, NORTH AMERICA, Canada, Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan, USA, California, Colorado, Connecticut, Delaware, Georgia, Idaho, Illinois, Indiana, Iowa, Maine, Maryland, Massachusetts, Michigan, Minnesota, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.170 | 0.100 |
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".