Managing flows for sockeye salmon emergence using the Fish Water Management Tool
Bibliographic record
Abstract
The Fish Water Management Tool (FWMT) is a water management decision support tool designed in part to protect sq̓awsitkʷ|Okanagan River sockeye salmon (sćwin|Oncorhynchus nerka). The FWMT includes a sockeye salmon sub-model to predict emergence timing, a life history stage where sockeye salmon are particularly vulnerable to high (scour) or low (desiccation) flows. Field observations of fry emergence timing were used to evaluate the accuracy of the FWMT sub-model, as well as flow data, spawner data and acoustic trawl data to evaluate the effectiveness of the FWMT. The FWMT predicted the date of peak emergence within an average of 12.6 days and improved compliance with flow targets by reducing desiccation and scour flows during incubation and fry migration life stages. Overall, the FWMT provides a flexible framework that allows water managers to evaluate and react to sq̓awsitkʷ|Okanagan River sockeye salmon responses to environmental conditions, rather than being constrained to a rigid calendar. These efforts have increased compliance with key flow targets, resulting in improved fry recruitment and a rare success story for fishery recovery.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".