Associations Between Bathymetric, Geologic and Oceanographic Features and theDistribution of the British Columbia Bottom Trawl Fishery
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.We have assembled current information on the groundfish trawl fishery off British Columbia (BC), Canada, the surficial geology of the fishing grounds, and the prevailing physical oceanography of the area. This was used to describe conditions that are important for determining fishing locations and high levels of fish density. Maps of fishing and geologic data were overlaid to reveal an affinity of fishing to areas covered by sands and gavels and an aversion to areas dominated by exposed bedrock, thin sediments over bedrock, and glacial till. Species-specific affinities to different sediment types were also demonstrated. Areas of high fish density occurred along frontal zones, the steep sides of banks, and across one of the three main troughs on the BC central coast. These are areas with high tidal energy, good nutrient supply, and opposing surface and near-bottom currents which allow zooplankton to hold position by vertical migration. In general, geologic features were more strongly associated with the location of fishing and the spatial distributions of individual species. Physical oceanographic conditions were more strongly associated with the distribution of total fish density
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".