Description and phylogenetic implications of a de novo mitochondrial genome of Rhinichthys atratulus (Teleostei: Leuciscidae) from Connecticut
Bibliographic record
Abstract
We present a de novo mitogenome assembly from a specimen of Rhinichthys atratulus, the Eastern Blacknose Dace, collected in the Connecticut River drainage. R. atratulus is a fish species widely distributed across Atlantic slope drainages from Nova Scotia, Canada to the Roanoke River Drainage, Virginia, United States. The assembly has a total length of 16,646 bp; consists of 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes, and a 974 bp D-loop; and has a GC content of 45.7%. We performed two phylogenetic analyses using the de novo assembly and 28 additional cyprinoid mitochondrial genomes: with and without the D-loop. The resulting phylogenetic trees showed the same branching patterns. However, inclusion of the D-loop resulted in nodes with equal or greater support. The trees largely match previously published analyses, while offering new insights into relationships among leuciscid genera. Our findings indicate that the inclusion of the D-loop in mitogenome phylogenetic analyses can help improve bootstrap support at otherwise unresolved nodes.
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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 | 0.001 | 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) | 0.001 | 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".