Polyploid microsatellite data reveal stock complexity among estuarine North American green sturgeon (Acipenser medirostris)
Bibliographic record
Abstract
North American green sturgeon ( Acipenser medirostris ) display the distinctive behavior of long ocean migrations along the west coast punctuated by summer residence in estuaries; however, little is known about stock composition in these tidal environments. Pairwise comparisons and genetic clustering analysis were used to characterize the two green sturgeon Distinct Population Segments (DPSs) from 20 collections using eight tetrasomic and two disomic microsatellite loci. The observed pattern of green sturgeon DPS composition among five estuaries in California, Oregon, and Washington was supported with assignment testing approaches utilizing the same genotypic data in codominant polysomic and pseudodominant allele phenotype formats. The majority of individuals in northern DPS estuaries originated from the threatened Southern DPS, except in Winchester Bay and Grays Harbor. We detected few Northern DPS green sturgeon in San Pablo Bay, the principal Southern DPS estuary, supporting that green sturgeon preferentially disperse north once they enter their coastal migration. Our genetic findings suggest that stock complexity in green sturgeon is pervasive and support precautionary, interjurisdictional approaches for managing green sturgeon beyond rigid, regulatory boundaries.
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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 | 0.000 |
| 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".