Adaptive naturalization of steelhead (Oncorhynchus mykiss) populations from northern Lake Superior tributaries
Bibliographic record
Abstract
Complementary life-history and genetic diversity (microsatellite DNA loci) were used to assess potential sources of extant phenotypic variation of eight naturalized steelhead populations from northern Lake Superior tributaries. Supplemental stocking subsequent to colonization, which occurred by 1920, has been very limited, thereby providing opportunities for genetic and phenotypic divergence. Populations exhibited high genetic diversity and similar allele size ranges, indicating a highly diverse common ancestor colonized the area. Furthermore, significant hierarchical divergence existed among populations. Five life-history parameters that are used to distinguish between native stocks of steelhead varied significantly among the study populations. Life-history variation was inconsistent with genetic variation and consistent with geographic distance among populations. Assuming that differences among tributary biophysical environments are positively associated with geographic distance these results support the hypothesis that reported life-history variation is the result natural processes (phenotypic plasticity, adaptation, drift and migration) and not contingent upon ancestry.
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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 | 0.000 |
| 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".