Bibliographic record
Abstract
Version 4.11.7 Support for Python 3.12 using the Meson build system This version no longer relies on distutils (which was deprecated in python 3.12) and instead makes use of Meson and Meson-Python to build and test the pyshtools package. The package can be built from source using pip as before, however, if you need to create an editable install, it will be necessary to use the slightly modified command pip install --no-build-isolation -e . Please see the online documentation for instructions on how to run the test suites and benchmarks. Other changes We no longer use versioneer to determine the package version, but instead set the version in the main meson.build file using setuptools_scm. At the present time, it is not possible to determine the version when using a source tarball, and for this case, the build will fail. Please ensure that when building from source that you are doing so from a git versioned repository. Fixed a problem with SHCoeffs.volume() when the coefficient normalization was ortho. Fixed a potential LAPACK underscore problem when compiling with LAPACK_UNDERSCORE specified. Minor changes were made to the python source files to ensure numpy v2 compatibility. M. A. Wieczorek, M. Meschede, A. Broquet, T. Brugere, A. Corbin, EricAtORS, A. Hattori, A. Kalinin, J. Kohler, D. Kutra, K. Leinweber, P. Lobo, I. Oshchepkov, P.-L. Phan, O. Poplawski, M. Reinecke, E. Sales de Andrade, E. Schnetter, S. Schröder, J. Sierra, A. Vasishta, A. Walker, xoviat, B. Xu (2024). SHTOOLS: Version 4.11.7, Zenodo, doi:10.5281/zenodo.592762
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 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.258 | 0.224 |
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".