Population genomics of harbour seal Phoca vitulina from northern British Columbia through California and comparison to Atlantic sub-species
Bibliographic record
Abstract
Data supporting the analyses described in the manuscript 'Population genomics of harbour seal Phoca vitulina from northern British Columbia through California and comparison to Atlantic sub-species', including genotype data outputs from stacks_workflow, and as described in the following GitHub repository: https://github.com/bensutherland/ms_harbour_seal note: VCF and genepop are based on either reference-guided genotyping or de novo genotyping, and either are single SNP per locus or multiple SNP per locus (if indicated as such). The normalized and balanced dataset is labeled as 'p4' rather than 'p7' for the reference-guided approach, to indicate that there are only four populations total instead of seven. The normalized and balanced de novo dataset is labeled as 'p2' to indicate that there are two populations being characterized in each. Please see the associated manuscript for additional details.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".