Molecular phylogeny of the Taeniapterini (Diptera: Micropezidae) using nuclear and mitochondrial DNA, with a reclassification of the genus Taeniaptera Macquart
Bibliographic record
Abstract
DNA molecular data are used to generate a phylogeny for the micropezid subfamily Taeniapterinae. Thirty-two taeniapterine species were sampled, including 10 of the 20 New World genera recognized by Steyskal, as well as one genus formerly treated as a synonym of Poecilotylus Hennig (Hemichaeta Steyskal). Five species from the Micropezinae were included as outgroups. A total DNA dataset of 4705 bp, including mitochondrial genes (12S and cytochrome c oxidase I (COI)) and nuclear coding genes (wingless and CAD), was analysed using maximum parsimony and Bayesian inference. The genus Taeniaptera Macquart was found to be non-monophyletic with respect to the remainder of the Taeniapterini analysed here. Taeniaptera is restricted to the Taeniaptera trivittata Macquart species group, Mitromyia Cresson is resurrected to contain the Taeniaptera grata (Wulp) species group, and Paragrallomyia Hendel is resurrected to contain most species previously considered Taeniaptera. Poecilotylus is recognized as a paraphyletic group awaiting further research.
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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 | 0.001 |
| 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".