IF Steelhead Migration Speed, Route, and Run Timing
Bibliographic record
Abstract
The purpose of this process was to compile information and estimate key parameters (run timing, migration speed and route) required for the development of a fishery planning tool to assess the risk to returning adult Interior Fraser River Steelhead Trout from marine and freshwater fisheries in Southern British Columbia. Existing information on the migration speed of returning adult Steelhead Trout, including but not limited to Interior Fraser River Steelhead Trout, in marine and freshwater habitats is sparse and variable, but could be used to parameterize the fishery planning tool. Adult Steelhead Trout appear to use migration routes on both sides of Vancouver Island, but available information is insufficient to estimate the proportion of Interior Fraser River Steelhead Trout that use each route. The timing of upstream migration of Interior Fraser River Steelhead Trout was estimated using data from the Albion test fishery in the lower Fraser River. A model with a hierarchical structure and asymmetric run timing predicts that 95% of Interior Fraser River Steelhead Trout pass the test fishing location between September 8 and November 23, with 50% passing by October 10. Sensitivity analyses indicated run-timing estimates were robust to data uncertainties and were not substantively affected by sparse Steelhead Trout catch data in recent years.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".