Benthic foraminiferal assemblages and environmental data from surface samples across Baffin Bay, Labrador Sea and Davis Strait (2023-2025)
Bibliographic record
Abstract
Surface samples from 10 sites were collected at continental slop depths in Baffin Bay, Davis Strait and the Labrador Sea as part of the AR2307 cruise in summer 2023. Surface samples were taken from the upper 0.5-1 centimeters of box and multi-cores. Benthic foraminifera were analysed from these samples; samples were sieved and all fauna greater than 63 micrometers (µm) were counted wet. Environmental variables from the corresponding sites: sea-ice cover, water depth, bottom water temperature, bottom water salinity, total organic carbon (TOC), total nitrogen (TN), ice proxy with 25 carbon atoms (IP25) concentration, phytoplankton sterols, and grain size characteristics are also included. Bottom water temperature, bottom water salinity, bottom water oxygen, and water depth were recorded at each site during the cruises using a Seabird SBE 9+ CTD. Sea-ice concentration data has been extracted from the Global Ocean OSTIA Sea Ice Product (Worsfold et al., 2024). Data published: Davies, J., Jennings, A., Carter-Champion, A., D’Andrea, W.J., Fritz, C., Gregory, E.E., Harning, D.J., Kelleher, R., Mix, A.C., Stelling, K., Stoner, J.S., Walczak, M.H., Klotsko, S., Hatfield, R.G., Reilly, B., 2025. Linkages between modern benthic foraminiferal assemblages and environmental conditions at continental slope depths: From Baffin Bay to the Labrador Sea. Marine Micropaleontology 201, 102527. https://doi.org/10.1016/j.marmicro.2025.102527 Reference: Worsfold, M., Good, S., Atkinson, C., Embury, O., 2024. Presenting a Long-Term, Reprocessed Dataset of Global Sea Surface Temperature Produced Using the OSTIA System. Remote Sensing 16, 3358. https://doi.org/10.3390/rs16183358
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".