ASSESSMENT OF AN UNPRECEDENTED HEATWAVE ON INTERTIDAL SHELLFISH OF THE SALISH SEA
Bibliographic record
Abstract
From 26 - 28 June 2021, the Pacific Northwest of the United States and British Columbia, Canada experienced an unprecedented atmospheric heatwave that coincided with the lowest low tides of the year. During and immediately following the event, many local scientists, resource managers, and members of the general public reported intertidal areas with numerous dead and dying marine organisms including barnacles, mussels, clams, and oysters. In response, members of the panel and other collaborators developed a semi-quantitative survey to assess any effects the heatwave had on nearshore invertebrates. Our goal was to rapidly inventory observations across a broad geographic scale to assess general status of intertidal species post-heatwave and to serve as a starting point for future detailed quantitative research and monitoring. We found that nearly all species observed, including barnacles, mussels, oysters, and various clam species, experienced some negative effects of the heatwave. Negative effects appear to be associated with the natural history of the species and modulated by sub regional variation in the timing of low tide and exposure. While many of our observations were negative, pockets of resilience were observed in nearly all species, potentially highlighting locations which may be resilient to a continually warming climate. Panelists will share observations, current research and monitoring efforts, and encourage conversations around the broader issues of the long-term social and ecological effects of climate change-induced mass mortality events.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".