Bibliographic record
Abstract
Abstract A description is provided for Pseudocercospora ribicola , which has been recorded causing leaf spots on living leaves, and on dying and dead leaves. Several species of Ribes are of commercial importance for their fruit, and this fungus causes a leaf spot in some of those species, but no reports of negative economic impacts have been found. Some information on its associated organisms and substrata, habitats, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (North America (Canada (Saskatchewan), USA (California, Connecticut, Idaho, Indiana, Nebraska, New York, Oregon, Utah, Washington, Wisconsin, Wyoming)), Asia (Georgia, Kazakhstan (former Almaty oblast, former Kostanai oblast, West Kazakhstan oblast), Russia (Kamchatka oblast, Republic of Buryatia, Sakhalin oblast, Sverlovsk oblast)), Europe (Belarus, Bulgaria, Latvia, Lithuania, Romania, Russia (Astrakhan oblast, Kirov oblast, Krasnodar krai, Kursk oblast, Leningrad oblast, Lipetsk oblast, Nizhny Novrogod oblast, Penza oblast, Republic of Kabardino-Balkaria, Republic of Karelia, Republic of Tatarstan, Ryazan oblast, Stavropol' krai, Tambov oblast, Tula oblast, Ulyanovsk oblast, Voronezh oblast), Ukraine)).
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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".