Microsatellite and mitochondrial DNA analysis of Dungeness crab (Cancer magister) from California to northern British Columbia
Bibliographic record
Abstract
Genetic variation was assessed using mitochondrial DNA and microsatellite markers from Dungeness crab between Iceberg Bay, British Columbia and San Luis Obispo, California. We found little pattern in overall genetic variation between sites in both marker types, and no significant Isolation by Distance model was fit. Site-specific variation in mitochondrial DNA haplotype frequencies suggested the existence of three subpopulations associated with the Alaska Current, the Puget Sound, and the California Current, but microsatellite DNA evidence did not support it. The ratio between sampling size for microsatellite markers and fragment size polymorphisms was low, limiting the resolving power of microsatellite DNA for neutral variation. Average pairwise Fst values for Iceberg Bay, British Columbia against all other populations was 0.156, as compared to the average pairwise Fst of 0.028 across all populations. In the southern region of the Puget Sound, Nisqually, Washington had a lower pairwise Fst of 0.044 but contained a large number of site-specific, unique mtDNA haplotypes. Additionally, we found 41 mtDNA haplotypes in 445 samples taken, with 23 of those haplotypes as "singletons," suggesting that Dungeness crab went through a recent, post-bottleneck population expansion, likely associated with the most recent glacial relaxation.
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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 | 0.002 | 0.002 |
| 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".