Fishes of the Salish Sea: a compilation and distributional analysis
Bibliographic record
Abstract
As part of a current effort to restore the Salish Sea, a 16,925-km 2 inland waterway shared by Washington State and British Columbia, a definitive, up-to-date list of the fishes that inhabit this marine ecosystem has been badly needed.The last such effort was published more than three decades ago.In response to this deficiency, we compiled information from various sources and identified 253 fish species observed in marine or brackish waters of the Salish Sea ecosystem, an increase of nearly 14% since the last published checklist.These 253 species, encompassing 1 myxinid, 2 petromyzontids, 18 chondrichthyans, 2 chondrosteans, and 230 teleosts, are contained within 78 families and 31 orders.This comprehensive list of the Salish Sea ichthyofauna will serve as a foundation for determining the occurrence of new species and perhaps the disappearance of others, enabling the selection of species as indicators of ecosystem health, and will provide a basis for identifying the mechanisms responsible for marine animal declines.Orders, families, and species of fishes (plus the forkline sole) recorded from marine habitats of the Salish Sea.JF=Strait of Juan de Fuca; SJ=San Juan Islands; BB=Bellingham Bay; SG=southern Strait of Georgia; NG=northern Strait of Georgia; NS=northern Puget Sound; SS=southern Puget Sound; HC=Hood Canal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.019 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".