Natural selection and the adaptive radiation of Haida Gwaii stickleback
Bibliographic record
Abstract
Questions: What are the selective landscapes structuring inter-population variability on the Haida Gwaii archipelago? How much morphological variability is functional given the common potential for stochastic founder effects when new habitats are colonized? Organism and sites: Threespine stickleback (Gasterosteus aculeatus) from 56 isolated water-sheds with separate marine ancestry encompassing 102 freshwater localities ranging from large oligotrophic mountain lakes to darkly stained bog lakes and ponds on the Haida Gwaii archipelago, western Canada. Field data: Biophysical attributes of the habitat (lake volume, depth, percent light trans-mission at 400 nm, calcium availability, pH, distance to marine waters, predation regime including puncturing, compression, and grappling species), morphological traits of the fish (body size, body depth, lateral plate number and position, dorsal spine length, pelvic girdle size, ascending process height, cross-sectional diameter, basal and lateral plate structural overlap), and geographical distance between localities. Based on previous surveys in this archipelago, we predicted the greatest expression of post-capture defences in lakes with high water clarity and
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".