Image dataset of common benthic foraminiferal taxa in the North Atlantic seafloor surface sediments (59.5°N transect) between the Labrador sea and Faeroe-Shetland sill
Bibliographic record
Abstract
The article presents a microphotograph dataset of 106 taxa of benthic foraminifera (BF) from surface sediments collected at 26 grab station during RV Akademik Ioffe 51st cruise (summer 2016). The selected stations are located along a 59.5°N transect in the North Atlantic. This is the key area of climate control, where the interaction of warm surface and cold deep water masses takes place, which affects the operation of the global oceanic thermohaline circulation. The analysis of the benthic foraminiferal assemblages allows us to describe the properties of bottom water mass, to draw conclusions about the environmental parameters at the bottom. This photo dataset will facilitate the identification of species of BF, and thus will accelerate the routine process of micropaleontological analysis and the subsequent reconstruction of environmental conditions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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".