Uncovering chemical variability: molecular data reveal the identity of a sterile crustose lichen from the Yukon and affirm an expanded circumscription for <em>Buellia griseovirens</em>
Bibliographic record
Abstract
Here we present the results of a study using molecular data (nrITS and mtSSU sequences) to aid in the identification of a sterile, sorediate crustose lichen from the Yukon Territory of Canada. BLASTn and megaBLAST indicated an affinity to the family Caliciaceae, specifically the Buellioideae. Molecular phylogenetic analyses of mtSSU sequences from the Caliciaceae affirmed this placement, and recovered a strongly supported clade composed of the unidentified populations and members of Buellia s.l. Internal transcribed spacer sequences of the taxon were >99% similar to two sequences of B. griseovirens , a relationship supported by additional molecular phylogenetic analyses. This is the first report of the occurrence of norstictic acid deficient populations of B. griseovirens from North America. It is also the first study to use molecular data to examine, and confirm, some of the chemical variability in B. griseovirens proposed in previous revisions.
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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 | 0.001 |
| 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 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".