<i>Hyphodontia</i> (Hymenochaetales, Basidiomycota) and similar taxa from Central Asia
Bibliographic record
Abstract
Wood-inhabiting fungi are noteworthy components of woody ecosystems that are responsible for the decomposition and turnover of wood nutrients. While the diversity and ecology of these fungi in the temperate forests has been relatively well explored, little is known on diversity of these fungi in the arid and semi-arid forest ecosystems. This is the first study on diversity, distribution, and ecology of the fungal genus Hyphodontia s.l. in the five countries of Central Asia, viz., Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. Altogether, 11 species are confirmed for the region, among which the following six species are reported for the first time from Central Asia: Hyphodontia alutaria, H. pallidula, Kneiffiella alutacea, Lyomyces crustosus, L. erastii, and L. sambuci. In addition to the morphological evidence, the identity of three species is confirmed with phylogenetic analysis based on ITS nuclear ribosomal DNA region. The spectra of known hosts for many of the studied species were expanded. An annotated species list and geo-referenced distribution maps are provided as well as notes on taxonomy, ecology, and local, regional, and global distribution. An identification key to the species of Hyphodontia s.l. recorded in arid and semi-arid regions of Central Asia is also provided.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".