Coastal Biodiversity Survey (PAC2021-035) in the Strait of Georgia and Central Coast of Pacific Canada: 2021 Cruise Report
Bibliographic record
Abstract
From April 16th – May 7th, 2021, Fisheries and Oceans Canada conducted a coastal biodiversity survey (PAC2021-035) aboard the Canadian Coast Guard Ship Vector to characterise intertidal and subtidal biodiversity along British Columbia’s Central and South Coasts in support of marine conservation and emergency response initiatives. The survey was completed in three legs, each with distinct objectives. During Leg 1, 26 dives using a Remotely Operated Vehicle (ROV) were completed to ground-truth rockfish habitat and glass sponge reefs in the Strait of Georgia and Queen Charlotte Strait (South Coast). During Leg 2, nearshore sites in Higgins Passage and Finlayson Channel (Central Coast) were surveyed using a range of techniques: beach seining, environmental DNA (eDNA), infauna/epifauna surveys, baited remote underwater video surveys (BRUVs), and aquatic invasive species surveys, including trapping for European Green Crab. Each technique detected a unique suite of species, highlighting the complementary nature of the sampling plan. In Leg 3, ROV work resumed with the goal of exploring Milbanke Sound and Finlayson Channel (Central Coast) for Lophelia coral aggregations and glass sponge reefs. Ship-based eDNA collections across varying depths also supported a Genome Canada funded collaboration with McGill University and Hakai Institute. The baseline information collected during this survey will support marine conservation and planning initiatives and contribute to long-term monitoring of these areas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.006 | 0.003 |
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".