RRS Discovery Cruise DY113, 3 February – 13 March 2020. Repeat hydrographic measurements on GO-SHIP lines SR1b and A23
Bibliographic record
Abstract
Cruise DY113 comprised occupations of two repeat hydrographic sections, SR1b across Drake Passage from Burdwood Bank to Elephant Island, and A23 from the northern Weddell Sea across the Scotia Sea to South Georgia. Ocean physical measurements are made on these two sections annually funded by NERC as National Capability, currently through the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) programme, in order to monitor and understand variability of Antarctic Circumpolar Current transports and Antarctic Bottom Water properties and volumes. In addition to the 62 CTD/LADCP casts on SR1b and A23, a CTD survey was made over 17 sites in Cumberland Bay, South Georgia, and a section along the North Scotia Ridge also occupied on cruise JR299 was revisited, bringing the total to 104 CTD/LADCP casts including one test cast and one other repeat. Water column samples were collected for calibration of CTD salinity and dissolved oxygen (most stations) as well as for measurements of oxygen isotopes (SR1b, A23, Cumberland Bay), nutrient (N and Si) isotopes (SR1b), nutrient (NO2+NO3, NO3, Si, P; SR1b, A23) concentrations, microplastics (SR1b, A23, Cumberland Bay), and environmental DNA (SR1b). Standard underway measurements including underway surface ocean and meteorological data and upper ocean vessel-mounted current measurements were collected throughout, while multibeam swath bathymetry data was recorded on the transit between SR1b and A23 (south of the South Orkney Islands), in Cumberland Bay, and on previously-unsurveyed parts of the North Scotia Ridge transect and between there and the Falkland Islands. Four standard Argo autonomous profiling floats were also deployed, two on SR1b and two on A23.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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".