Bibliographic record
Abstract
Oceananigans v0.57.3 Diff since v0.57.2 Preliminary implementation of <code>ImmersedBoundaryGrid</code> and <code>GridFittedBoundary</code>! <strong>Closed issues:</strong> <code>show()</code> for VerticallyStretchedRectilinearGrId (#1637) Docstrings for VerticallyStretchedRectilinearGrids aren't in the Docs (#1651) GKS not in proper state (#1657) Should <code>examples/mpi_shallow_water_turbulence.jl</code> be in <code>examples</code>? (#1658) <strong>Merged pull requests:</strong> Fix <code>set!</code> for cubed sphere reduced fields (#1622) (@ali-ramadhan) Fixes show for VerticallyStretchedRectilinearGrid on GPUs (#1638) (@glwagner) Prototyping <code>Oceananigans.OutputReaders</code> (#1641) (@ali-ramadhan) Extends <code>getindex</code> for <code>Nothing</code> locations to <code>AbstractField</code> (#1649) (@glwagner) Validate the convergence rates for advection (#1650) (@francispoulin) Adds Grids/vertically_stretched_rectilinear_grid.jl in Docs (#1652) (@navidcy) Deletes needless comma in <code>getindex</code> for 0D fields (#1653) (@glwagner) Basic <code>ImmersedBoundaryGrid</code> + <code>GridFittedBoundary</code> implementation (#1654) (@glwagner) Using Flat for shallow water benchmark (#1659) (@francispoulin) moving mpi example to validation folder (#1661) (@francispoulin) assert shallow water model is flat and add test (#1662) (@francispoulin) Bump to 0.57.3 (#1671) (@glwagner)
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.045 | 0.005 |
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; both teacher heads agree on what is shown here.
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".