Chinook Salmon Fat Meter Measurements from the 2020 Albion Test Fishery
Bibliographic record
Abstract
Distell fat meter (model FFM-692) measurements were taken from Chinook salmon, Oncorhynchus tshawytscha, collected in 2020 near Maple Ridge, BC on the Fraser River as part of the Fisheries and Oceans Canada-run Chinook test fishery. The test fishery completes two drifted gill net sets per day from mid-April to November. Salmon length and weight measurements were also collected on board the gill net vessel, and a scale sample was taken for genetic stock identification. Chinook were identified to management unit (MU), groupings of Chinook conservation units categorized by shared life history traits. Fat meter measurements were converted to whole body lipid content measurements using a calibration described in the Lerner & Hunt [2023]. Data was collected from 1,566 individuals and was used to determine MU-specific Chinook lipid content.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.023 |
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".