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Enregistrement W6948784682 · doi:10.5281/zenodo.10520045

Ouranosinc/xscen: v0.8.0

2024· other· en· W6948784682 sur OpenAlexaff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2024
Typeother
Langueen
DomaineEarth and Planetary Sciences
ThématiqueSubterranean biodiversity and taxonomy
Établissements canadiensOuranos
Organismes subventionnairesnon disponible
Mots-clésNetCDFPascal (unit)Function (biology)Variable (mathematics)Point (geometry)Filter (signal processing)Resampling

Résumé

récupéré en direct d'OpenAlex

Changelog v0.8.0 (2024-01-16) Contributors to this version: Gabriel Rondeau-Genesse (@RondeauG), Pascal Bourgault (@aulemahal), Juliette Lavoie (@juliettelavoie), Sarah-Claude Bourdeau-Goulet (@sarahclaude), Trevor James Smith (@Zeitsperre), Marco Braun (@vindelico). Announcements xscen now adheres to PEPs 517/518/621 using the setuptools and setuptools-scm backend for building and packaging. (PR/292). New features and enhancements New function xscen.indicators.select_inds_for_avail_vars to filter the indicators that can be calculated with the variables available in a xarray.Dataset. (PR/291). Replaced aggregation function climatological_mean() with climatological_op() offering more types of operations to aggregate over climatological periods. (PR/290) Added the ability to search for simulations that reach a given warming level. (PR/251). xs.spatial_mean now accepts the region="global" keyword to perform a global average (GH/94, PR/260). xs.spatial_mean with method='xESMF' will also automatically segmentize polygons (down to a 1° resolution) to ensure a correct average (PR/260). Added documentation for require_all_on in search_data_catalogs. (PR/263). xs.save_to_table and xs.io.to_table to transform datasets and arrays to DataFrames, but with support for multi-columns, multi-sheets and localized table of content generation. Better xs.extract.resample : support for weighted resampling operations when starting with frequencies coarser than daily and missing timesteps/values handling. (GH/80, GH/93, PR/265). New argument attribute_weights to generate_weights to allow for custom weights. (PR/252). xs.io.round_bits to round floating point variable up to a number of bits, allowing for a better compression. This can be combined with the saving step through argument "bitround" of save_to_netcdf and save_to_zarr. (PR/266). Added annual global tas timeseries for CMIP6's models CMCC-ESM2 (ssp245, ssp370, ssp585), EC-Earth3-CC (ssp245, ssp585), KACE-1-0-G (ssp245, ssp370, ssp585) and TaiESM1 (ssp245, ssp370). Moved global tas database to a netCDF file. (GH/268, PR/270). Implemented support for multiple levels and models in xs.subset_warming_level. Better support for DataArray and DataFrame in xs.get_warming_level. (PR/270). Added the ability to directly provide an ensemble dataset to xs.ensemble_stats. (PR/299). Added support in xs.ensemble_stats for the new robustness-related functions available in xclim. (PR/299). New function xs.ensembles.get_partition_input (PR/289). Breaking changes climatological_mean() has been replaced with climatological_op() and will be abandoned in a future version. (PR/290) experiment_weights argument in generate_weights was renamed to balance_experiments. (PR/252). New argument attribute_weights to generate_weights to allow for custom weights. (PR/252). For a sequence of models, the output of xs.get_warming_level is now a list. Revert to a dictionary with output='selected' (PR/270). The global average temperature database is now a netCDF, custom databases must follow the same format (PR/270). Bug fixes Fixed a bug in xs.search_data_catalogs when searching for fixed fields and specific experiments/members. (PR/251). Fixed a bug in the documentation build configuration that prevented stable/latest and tagged documentation builds from resolving on ReadTheDocs. (PR/256). Fixed get_warming_level to avoid incomplete matches. (PR/269). search_data_catalogs now eliminates anything that matches any entry in exclusions. (GH/275, PR/280). Fixed a bug in xs.scripting.save_and_update where build_path_kwargs was ignored when trying to guess the file format. (PR/282). Add a warning to xs.extract._dispatch_historical_to_future. (GH/286, PR/287). Modify use_cftime for the calendar conversion in to_dataset. (GH/303, PR/289). Internal changes Continued work on adding tests. (PR/251). Fixed pre-commit's pretty-format-json hook so that it ignores notebooks. (PR/254). Fixed the labeler so docs/CI isn't automatically added for contributions by new collaborators. (PR/254). Made it so that tests are no longer treated as an installable package. (PR/248). Renamed the pytest marker from requires_docs to requires_netcdf. (PR/248). Included the documentation in the source distribution, while excluding the NetCDF files. (PR/248). Reduced the size of the files in /docs/notebooks/samples and changed the notebooks and tests accordingly. (GH/247, PR/248). Added a new xscen.testing module with the datablock_3d function previously located in /tests/conftest.py. (PR/248). New function xscen.testing.fake_data to generate fake data for testing. (PR/248). xESMF 0.8 Regridder and SpatialAverager argument out_chunks is now accepted by xs.regrid_dataset and xs.spatial_mean. (PR/260). Testing, Packaging, and CI adjustments. (PR/274): xscen builds now install in a tox environment with conda-provided ESMF in GitHub Workflows. tox now offers a method for installing esmpy from a tag/branch (via ESMF_VERSION environment variable). $ make translate is now called on ReadTheDocs and within tox. Linters are now called by order of most common failures first, to speed up the CI. Manifest.in is much more specific about what is installed. Re-adds a dev recipe to the setup.py. Multiple improvements to the docstrings and type annotations. (PR/282). pip check in conda builds in GitHub workflows have been temporarily set to always pass. (PR/288). The cookiecutter template has been updated to the latest commit via cruft. (PR/292): setup.py has been mostly hollowed-out, save for the babel-related translation function. pyproject.toml has been added, with most package configurations migrated into it. HISTORY.rst has been renamed to CHANGES.rst. actions-version-updater.yml has been added to automate the versioning of the package. pre-commit hooks have been updated to the latest versions; check-toml and toml-sort have been added to cleanup the pyproject.toml file, and check-json-schema has been added to ensure GitHub and ReadTheDocs workflow files are valid. ruff has been added to the linting tools to replace most flake8 and pydocstyle verifications. tox builds are more pure Python environment/PyPI-friendly. xscen now uses Trusted Publishing for TestPyPI and PyPI uploads. Linting checks now examine the testing folder, function complexity, and alphabetical order of __all__ lists. (PR/292). publish_release_notes now uses better logic for finding and reformatting the CHANGES.rst file. (PR/292). bump2version version-bumping utility was replaced by bump-my-version. (PR/292). Documentation build checks no longer fail due to broken external links; Notebooks are now nested and numbered. (PR/304).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Logiciel · Signal consensuel: aucune
Score de désaccord entre enseignants0,372
Score d'incertitude au seuil0,896

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,013
Méta-épidémiologie (sens strict)0,0030,003
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0030,004
Études des sciences et des technologies0,0010,001
Communication savante0,0060,005
Science ouverte0,0060,005
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,3720,538

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,056
Tête enseignante GPT0,205
Écart entre enseignants0,150 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreLogiciel

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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