<p class="HeadingRunIn"><strong>Discovery, dispersal, and genetic diversity of <em>Rhyacophila lobifera</em> Betten, 1934 (Trichoptera: Rhyacophilidae) in southeast Michigan, USA</strong></p>
Bibliographic record
Abstract
Rhyacophila lobifera Betten, 1934 has been previously documented in the upper Midwest states of Ohio, Indiana, and Illinois, and the province of Ontario. Here we report on the diversity of this species in the Rouge and Huron River watersheds using DNA barcode-verified identifications to confirm the first known Michigan record of this species, with collection from the lower Rouge River in 2003 and again in 2008. Since first detection, we document that the range of R. lobifera in the Rouge River watershed has expanded to include at least one additional site on the Lower Branch and five sites on the Middle Branch (Johnson Creek), as well three sites in the neighboring Huron River watershed. Our sequence analysis of the mitochondrial COI barcode gene region suggests a fine scale population structure in these watersheds, with haplotype partitioning congruent with proposed dispersal patterns based on first records at each site. Ranking as a 4 on the Hilsenhoff's biotic index—an intermediate level of water quality tolerance, discovery of R. lobifera in an urbanized southeast Michigan watershed is not unexpected, but population genetic patterns lend insight into its recent range expansion.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.008 | 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".