Carbonate variables simulated by the pan-Arctic sea ice-ocean model with riverine biogeochemical impact
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Carbonate variables simulated by the pan-Arctic sea ice-ocean model COCO & Arctic NEMURO-C are summarized. This dataset presents the monthly mean time series of the simulated total alkalinity (TA), dissolved inorganic carbon (DIC), aragonite saturation rate of calcium carbonate (omega), pH, partial pressure of seawater CO2 (pCO2), and air-sea CO2 exchange (flxCO2) for 1979-2018. The regional averages for 7 sub-regions (Beaufort Shelf, Chukchi Cap, Canada Basin, East Siberian Sea, Laptev Sea, Kara Sea, and Eurasian Basin) are summerized. To evaluate riverine biogeochemical impact, the results in four experiments are listed. The concentration of riverine water tracer is also included. This work was supported by the Arctic Challenge for Sustainability (ArCS) II project.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it