Assessing molecular phylogenetics of Hydroptilidae (Trichoptera) subfamily lineages, with notes on biogeography
Bibliographic record
Abstract
Abstract The microcaddisfly family Hydroptilidae is the most species-rich within the insect order Trichoptera and has a global distribution. The taxonomy and systematics of this group remains understudied in proportion to its diversity. Here, we present a phylogenetic assessment of subfamily relationships that includes five of the six Hydroptilidae subfamilies (Hydroptilinae, Leucotrichiinae, Ochrotrichiinae, Orthotrichiinae, and Stactobiinae) using publicly available molecular data. Our analyses recovered Leucotrichiinae, Ochrotrichiinae, and Stactobiinae as monophyletic and Hydroptilinae as paraphyletic. Based on the diversity and distribution of taxa, much more representation of species is needed to fully understand the relationships of subfamilies; however, our results suggest a need to revisit the placement of Ithytrichia , which concurs with other recent molecular work on Hydroptilidae. Further clarity into the relationships of Hydroptilidae will be important for understanding the variability and phylogenetic signal of ecological traits.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".