The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia
Bibliographic record
Abstract
Reference: Lofverstrom, M., Thompson, D. M., Otto-Bliesner, B. L. & Brady, E. C. (2022): The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia, Nature Geoscience, doi:10.1038/s41561-022-00956-9 Description: 30 year monthly climatologies and monthly timeseries from the CESM2 pre-industrial control simulation (piControl), as well as the 116 ka simulations with open and closed ocean gateways in the Canadian Arctic Archipelago (openCAA and closedCAA, respectively). This is version 2 of this dataset that includes an extension of simulation openCAA to model year 815 (similar to simulation closedCAA). The pre-industrial data is derived from: https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.html Proxy datasets: vo.imcce.fr/insola/earth/online/earth/earth.html doi.pangaea.de/10.1594/PANGAEA.854045 doi.pangaea.de/10.1594/PANGAEA.55501 doi.pangaea.de/10.1594/PANGAEA.840727 doi.pangaea.de/10.1594/PANGAEA.777694 doi.pangaea.de/10.1594/PANGAEA.742858
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".