Barriers to upstream passage by two migratory sculpins, prickly sculpin (<i>Cottus asper</i>) and coastrange sculpin (<i>Cottus aleuticus</i>), in northern Puget Sound lowland streams
Bibliographic record
Abstract
We identified and characterized barriers to the upstream distribution by prickly sculpin (Cottus asper) and coastrange sculpin (Cottus aleuticus), based on their longitudinal distribution in 11 streams in the Puget Sound lowlands of Washington State. Eight streams had upstream limits associated with particular instream structures, and these were compared to distinguish features of barriers and non-barriers. In seven streams perch height greater than 15 cm resulted in a complete barrier. In one stream water velocity >4 m·s−1created a partial barrier. Five of the eight barriers were one- or two-step fish ladders installed to facilitate upstream passage of Pacific salmon and trout. Water quality, physical habitat, and the presence of other fishes were not related to the presence or absence of sculpin species. Fish passage criteria in western North American streams are based on the swimming abilities of Pacific salmon and trout, without consideration for other, less motile native fishes. Structures installed to surmount previously identified impediments to upstream migration continue to inhibit sculpin movement, resulting in loss of upstream habitats for adults, with potential consequences to population size and trophic dynamics.
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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 | 0.000 |
| 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".