SATS (Santander Atlantic Time-Series) Observatory Data
Bibliographic record
Abstract
As part of the long-term ocean observation program of the Spanish Institute of Oceanography (IEO-CSIC), the SATS (Santander Atlantic Time-Series) Eulerian time series has conducted monthly multidisciplinary monitoring at a deep-ocean station since 1994. In addition to regular CTD profiles, an oceanographic-meteorological buoy—equipped with atmospheric, oceanographic, and biogeochemical sensors—has been deployed at a depth of 2850 m near this deep station. Together, these datasets form the SATS long-term ocean observatory, which is designed to monitor: The evolution of water mass properties (Eastern North Atlantic Central Water – ENACW, Mediterranean Water – MW, and Labrador Sea Water – LSW), The vertical structure of the upper ocean (mixing depth and stratification), Changes in oxygen content, And the variability of ocean climate and biogeochemistry in response to air–sea interactions, mixing processes, and circulation dynamics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.023 |
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".