Canadian Meteorological Centre’s Global Deterministic Prediction System Reforecasts (CGRF) / South West Nova Scotia (SWNS) ocean model setup
Bibliographic record
Abstract
Global atmospheric forcing data for the year 2010. Variables include: hourly wind fields at 10 m height (two components, file names starting with u10 and v10); air temperature at 2m (t2); humidity at 2m (q2); precipitation (precip); snowfall (snow); short-wave radiation (csw); and long-wave radiation (clw). Each tar.bz2 file is a monthly archive of daily netcdf files, one archive file for each variable and month of the year (e.g. "precip_y2010m09.tar.bz2" is the precipitation data for the 9th month of 2010). Setup files for SWNS model using NEMO v3.6 and ARIANE. The setup for NEMO model includes initial and boundary conditions and namelists. These setups are for three scenarios, i.e., Full run, Non-tidal run, and Barotropic run. The setup files for ARIANE include initial particle positions and namelist.
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.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 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".