Modelled and observational freshwater flux time series for land ice in the Arctic and North Atlantic for 1958-2016 b.
Bibliographic record
Abstract
This dataset comprises modelled and observational solid and liquid coastal freshwater fluxes from land ice in Greenland, Canadian Arctic Archipelago, Svalbard and Iceland. Tundra runoff from all these land areas is also included. The fluxes have been routed to coastal grid cells around the margins of the land areas. The fluxes are provided in three fields: tundra, surface runoff over ice, solid ice discharge (icebergs, for Greenland only). The data are on a 5 km polar stereographic projection with a monthly time step and are in a netcdf format. Detailed description of the derivation of the data can be found in an associated paper in JGR-Oceans: Bamber J.L, et al "Land ice freshwater budget of the Arctic and North Atlantic Oceans. Part I: Data, methods and results". This dataset contains monthly resolution runoff and discharge from 01/01/1958 to 31/12/2016 and is an updated version of the data held at BODC (Bamber et al. 2018, doi:10.5285/643aa9bc-bcd6-45ad-e053-6c86abc07da0).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".