Phylogenetic relationships within the genus <i>Wiseana</i> (Lepidoptera: Hepialidae)
Bibliographic record
Abstract
Abstract The genus Wiseana Viette, part of the ’Oxycanus’ lineage s. str . (Dugdale 1994), is well known to systematists and applied scientists in New Zealand because it has proved difficult to establish the number and distribution of species, and to find characters to identify the species causing damage. We estimated the phylogenetic relationships within Wiseana using nucleotide sequence data from the ITS2 region of the nuclear, ribosomal DNA. Relationships between Wiseana signata haplotypes and W. umbraculata were resolved using the ITS2 region, and morphological and mtDNA data sets. Other relationships within the genus could not be completely resolved using ITS2, or other data sets. The advantages of combining independently derived Wiseana data sets is discussed.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".