The polychaeta of Canada: Exploring diversity and distribution paterns using DNA barcodes
Bibliographic record
Abstract
This thesis investigates the diversity and distribution of polychaetes from Canadian marine waters employing both morphological (literature reports) and molecular (mtDNA) approaches. Collation of species reports from the literature indicated that nearly 15% of the 1,023 Canadian polychaete species occur in all three of Canada's oceans. In contrast, DNA barcode analysis of these widespread species indicated that most were species complexes. Barcode analysis of 333 provisional polychaete species revealed 40 times more sequence divergence between than within species, and extensive cryptic diversity in 36 morphospecies. Further examination of genetic discontinuities between Pacific and Atlantic-Arctic sister taxa indicated that periodic ice retreats during the Pleistocene enabled multiple migrations of polychaete species across the Bering Strait, ultimately increasing polychaete diversity in Canada. This thesis demonstrates the utility of DNA barcoding as a tool for species identification in polychaetes and for illuminating evolutionary and biogeographic patterns among species.
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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 | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".