High Protistan Parasite Occurrence During Fall in a Warm, Low Sea Ice Year in the Eastern Bering Sea
Bibliographic record
Abstract
Marine protists in the eastern Bering Sea (EBS) are understudied despite being a critical component of the productive subarctic ecosystem. Climate change, and particularly the loss of sea ice, is rapidly altering this ecologically vulnerable and economically important system. In this study, the EBS protist community was characterized across recent years with drastic differences in sea ice extent. In 2019, when the extent of sea ice was anomalously low and retreat occurred early, increased fall water temperatures and surface salinities were observed, and the protist community was dominated by apicomplexan parasites. In contrast, 2017 had more typical winter sea ice conditions and in the fall, water temperatures and surface salinities were lower and protist communities were more diverse, with a larger ratio of primary producer to consumer protists compared to 2019. Surface water temperature was identified as a key predictor of apicomplexan compositional abundance and may be important in the life histories of parasites and their hosts. The interannual variability observed here indicates that the transfer of energy and biomass through the EBS ecosystem can differ drastically across years with differential sea ice influence and highlights the need to monitor protist communities and explore the impacts of protistan parasites.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".