Integrative taxonomy revealed a new species of Lefua (Teleostei, Nemacheilidae) from Fukui Prefecture, Japan
Bibliographic record
Abstract
Eight-barbel loaches belonging to the genus Lefua have diverged into seven species in freshwaters of East Asia. Recent studies have discovered a new population in the Kuzuryu River drainage system of Fukui Prefecture, central Japan. Based on the results of the genetic analyses and morphological comparisons, we describe this population as a new species, Lefua nishimuraisp. nov. Body width, interorbital width, orbit diameter, preanal length, snout length, and the newly examined head width greatly contributed to the discrimination between L. torrentis, L. tokaiensis and L. nishimuraisp. nov. The new species can be distinguished from other congeners by combining the following characteristics: 1) eyes positioned dorsally on the head; 2) a narrow conspicuous longitudinal mark between the base of the outer rostral barbel and the eye; 3) small dark spots on the body, dorsal, and caudal fins; 4) a small dorsal fin and eye diameter; and 5) black spots above and below the base of the caudal fin. Based on the phylogenetic relationships of the genus, L. nishimuraisp. nov. is estimated to have diverged early from its common ancestor in central Japan. Understanding the natural history of this new species and implementing conservation measures are crucial because of its narrow, fragmented distribution and presence in vulnerable habitats.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".