DNA barcoding of morid cods reveals deep divergence in the antitropical<i>Halargyreus johnsoni</i>but little distinction between<i>Antimora rostrata</i>and<i>Antimora microlepis</i>
Bibliographic record
Abstract
BACKGROUND AND AIMS: DNA barcoding strongly suggests that specimens of the slender codling (Halargyreus johnsonii) from New Zealand and Tasmania belong to a different species to H. johnsonii reported from other areas. RESULTS: Sequence divergence between the two groups averaged 3.95%, much higher than within-group divergences of 0.03 and 0.02% for specimens, respectively, from New Zealand-Tasmania and from the North Pacific, Atlantic Ocean, and Southern Ocean. CONCLUSION: Meristic data for specimens from New Zealand and from the Southern Ocean north of the Ross Sea support the conclusion of two species. DNA barcodes for two sister taxa, Antimora rostrata and Antimora microlepis, show low intra-species (0.3-0.06%) and inter-species (0.23%) divergence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".