Available salmon biomass for British Columbia (1994-2021) at 1km resolution
Bibliographic record
Abstract
A 1 kilometre resolution map of available salmon biomass in kilograms averaged over 1994 to 2021 for the entire province of British Columbia. NAD83/BC Albers projection (EPSG: 3005). Created by linking the New Salmon Escapement Database System (Fisheries and Oceans Canada 2016, url: open.canada.ca/data/en/dataset/c48669a3-045b-400d-b730-48aafe8c5ee6) to the B.C. Freshwater Atlas (GeoBC 2010, url: www2.gov.bc.ca/gov/content/data/geographic-data-services/topographic-data/freshwater). Salmon escapement counts for the five major species of anadromous salmon (Oncorhynchus gorbusha, Oncorhynchus keta, Oncorhynchus kisutch, anadromous Oncorhynchus nerka, Oncorhynchus tschawytscha) were converted to biomass in kilograms based on average spawner mass data by species from Service et al. (Service et al. 2019, url: doi.org/10.1111/1365-2656.12932). These biomass measurements were then matched by water feature code to spatial features in the Freshwater Atlas. We then interpolated total salmon biomass for all five species, averaged over the time of our study (1994 to 2021) using a Stewart gravity model (Stewart 1942, url: doi.org/10.2307/2784954) with a span of 50 km and a beta (distance decay) coefficient of 1.7, creating an output raster with a 1km resolution. Due to the overwhelming influence of the lower Fraser River population estimates and potential sampling bias (as the population is sampled again in upstream reaches), we removed escapement data from the Lower Fraser.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.008 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".