Chlorophyll-a and phaeopigment-a from RRS Discovery Southern Ocean cruise DY098 to the Scotia Sea and South Sandwich Islands, during austral spring 2019
Bibliographic record
Abstract
This dataset comprises chlorophyll-a and phaeopigment-a concentrations (mg l-1) obtained from seawater samples collected during cruise DY098 on the RRS Discovery during the period 2019-01-02 to 2019-02-10. The cruise was part of the POETS-WCB and SCOOBIES time-series with an additional survey undertaken around the South Sandwich Islands (SSI). The data contained within this dataset were predominantly collected during the SSI component of the cruise. Samples were collected at up to 6 depths across the top 400 m (approx. 5 m, 50 m, 100 m, 200 m, 400 m and the chlorophyll maximum). Samples were collected and filtered on board and analysed at the British Antarctic Survey laboratory. This work was funded through NERC National Capability Science funding (NC-SS) for the Polar Ocean Ecosystem Time Series (POETS) and FCO grant NEB1686.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.010 |
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".