“When worlds collide and smuts converge”: Tales from the 1st International Ustilago/Smut Convergence
Bibliographic record
Abstract
From the evening of March 12, till dinner on March 13, 2017, the 1st International Ustilago/Smut Convergence took place as a workshop prior to the start of the 29th Fungal Genetics Conference, in Asilomar, California. The overall goals of the meeting were to expand the smut model systems being used and to expand participation by the next generations of scientists with these fungi. These goals were implemented through a combination of emphasis on student and post-doc presentations, mentoring of such individuals, and active recruitment of participation by groups under-represented at such meetings in recent years in the US, especially those from Latin America and other Spanish-speaking countries. Work was presented at the first workshop on U. maydis, Sporosorium reilianum, Microbotryum violaceum, U. esculenta, and Thecaphora thlaspeos. Students and post-doctoral researchers were encouraged to present their "just-in-time," as-yet-unpublished data, in a safe environment, with the understanding of those attending the meeting that this early access was a privilege not to be taken advantage of. The result was lively and constructive discussion, including a variety of presentations by these young scientists on putative and characterized smut effector proteins, clearly at the forefront of such research, even considering the advances presented later that week at the Fungal Genetics Conference. This review also briefly compares the first meeting with the events of the recent 2nd International Ustilago/Smut Convergence (March 11-12, 2019), which ended with a tribute to Prof. Dr. Regine Kahmann, in honor of her career, and especially for her contributions to the field of smut genetics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".