Coastal Biodiversity Survey (PAC2023-035) in Caamaño and Chatham Sounds on the Central and North Coasts of Pacific Canada: 2023 Cruise Report
Bibliographic record
Abstract
From May 17th – June 8th, 2023, Fisheries and Oceans Canada conducted a coastal biodiversity survey (PAC2023-035) aboard the Canadian Coast Guard Ship Vector to characterize intertidal and subtidal biodiversity along British Columbia’s North and Central coasts in support of marine conservation and emergency response initiatives. Eleven intertidal sites were surveyed using a suite of techniques: beach seining, drone surveys, environmental DNA (eDNA), wildlife cameras, infauna/epifauna surveys, shoreline debris surveys and baited remoted underwater video (BRUV) surveys. Each technique detected a unique suite of species, highlighting the complementary nature of the sampling plan. Across all nearshore sites, nine infaunal and 30 epifaunal invertebrate taxa were detected by intertidal biodiversity surveys; 37 fish, 22 invertebrate, one bird and one mammal taxa were detected by BRUVs; and 48 fish taxa were detected using beach seining. Near-bottom and surface eDNA water samples were also collected within and surrounding a proposed marine protected area in Caamaño Sound, and in Chatham Sound at eelgrass beds on Flora Banks, in rockfish conservation areas, and over mapped sponge reefs. eDNA results will be available in future publications. The baseline information collected during this survey will support marine conservation and planning initiatives and contribute to long-term monitoring of these areas. These surveys were completed in partnership with the Gitga’at, Gitxaala, Haisla, Heiltsuk, and Kitasoo Xai’xais Nations.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".