Notice bibliographique
Résumé
Contributors to this version: Trevor James Smith (@Zeitsperre), Juliette Lavoie (@juliettelavoie), Éric Dupuis (@coxipi), Pascal Bourgault (@aulemahal). Announcements <code>xclim</code> now supports testing against tagged versions of <code>Ouranosinc/xclim-testdata <https://github.com/Ouranosinc/xclim-testdata></code>_ in order to support older versions of <code>xclim</code>. For more information, see the Contributing Guide for more details. (PR/1339). <code>xclim v0.42.0</code> will be the last version to explicitly support Python3.8. (GH/1268, PR/1344). New features and enhancements Two previously private functions for selecting a day of year in a time series when performing calendar conversions are now exposed. (GH/1305, PR/1317). New functions are: <code>xclim.core.calendar.yearly_interpolated_doy</code> <code>xclim.core.calendar.yearly_random_doy</code> <code>scipy</code> is no longer pinned below v1.9 and <code>lmoments3>=1.0.5</code> is now a core dependency and installed by default with <code>pip</code>. (GH/1142, PR/1171). Fix bug on number of bins in <code>xclim.sdba.propeties.spatial_correlogram</code>. (PR/1336) Add <code>resample_before_rl</code> argument to control when resampling happens in <code>maximum_consecutive_{frost|frost_free|dry|tx}_days</code> and in heat indices (in <code>_threshold</code>) (GH/1329, PR/1331) Add <code>xclim.ensembles.make_criteria</code> to help create inputs for the ensemble-reduction methods. (GH/1338, PR/1341). Bug fixes Warnings emitted from regular usage of some indices (<code>snowfall_approximation</code> with <code>method="brown"</code>, <code>effective_growing_degree_days</code>) due to successive <code>convert_units_to</code> calls within their logic have been silenced. (PR/1319). Fixed a bug that prevented the use of the <code>sdba_encode_cf</code> option with xarray 2023.3.0 (PR/1333). Fixed bugs in <code>xclim.core.missing</code> and <code>xclim.sdba.base.Grouper</code> when using pandas 2.0. (PR/1344). Breaking changes The call signatures for <code>xclim.ensembles.create_ensemble</code> and <code>xclim.ensembles._base._ens_align_dataset</code> have been deprecated. Calls to these functions made with the original signature will emit warnings. Changes will become breaking in <code>xclim>=0.43.0</code>.(GH/1305, PR/1317). Affected variable: <code>mf_flag</code> (bool) -> <code>multifile</code> (bool) The indice and indicator for <code>last_spring_frost</code> has been modified to use <code>tasmin</code> by default, reflecting its docstring and literature definition (GH/1324, PR/1325). following indices now accept the <code>op</code> argument for modifying the threshold comparison operator (PR/1325): <code>snw_season_length</code>, <code>snd_season_length</code>, <code>growing_season_length</code>, <code>frost_season_length</code>, <code>frost_free_season_length</code>, <code>rprcptot</code>, <code>daily_pr_intensity</code> In order to support older environments, <code>pandas</code> is now conditionally pinned below v2.0 when installing <code>xclim</code> on systems running Python3.8. (PR/1344). Bug fixes <code>xclim.indices.run_length.last_run</code> nows works when <code>freq</code> is not <code>None</code>. (GH/1321, PR/1323). Internal changes Added <code>xclim</code> to the ouranos Zenodo community . (PR/1313). Significant documentation adjustments. (GH/1305, PR/1308): The CONTRIBUTING page has been moved to the top level of the repository. Information concerning the licensing of xclim is clearly indicated in README. <code>sphinx-autodoc-typehints</code> is now used to simplify call signatures generated in documentation. The SDBA module API is now found with the rest of the User API documentation. <code>HISTORY.rst</code> has been renamed <code>CHANGES.rst</code>, to follow <code>dask</code>-like conventions. Hyperlink targets for individual <code>indices</code> and <code>indicators</code> now point to their entries under <code>API</code> or <code>Indices</code>. Module-level docstrings have migrated from the library scripts directly into the documentation RestructuredText files. The documentation now includes a page explaining the reasons for developing <code>xclim</code> and a section briefly detailing similar and related projects. Markdown explanations in some Jupyter Notebooks have been edited for clarity Removed <code>Mapping</code> abstract base class types in call signatures (<code>dict</code> variables were always expected). (PR/1308). Changes in testing setup now prevent <code>test_mean_radiant_temperature</code> from sometimes causing a segmentation fault. (GH/1303, PR/1315). Addressed a formatting bug that caused <code>Indicators</code> with multiple variables returned to not be properly formatted in the documentation. (GH/1305, PR/1317). <code>tox</code> now include <code>sbck</code> and <code>eofs</code> flags for easier testing of dependencies. CI builds now test against <code>sbck-python</code> @ master. (PR/1328). <code>upstream</code> CI tests are now run on push to master, at midnight, and can also be triggered via <code>workflow_dispatch</code>. Failures from upstream build will open issues using <code>xarray-contrib/issue-from-pytest-log</code>. (PR/1327). Warnings from set <code>_version_deprecated</code> within Indicators now emit <code>FutureWarning</code> instead of <code>DeprecationWarning</code> for greater visibility. (PR/1319). The <code>Graphics</code> section of the <code>Usage</code> notebook has been expanded upon while grammar and spelling mistakes within the notebook-generated documentation have been reduced. (GH/1335, PR/1338, suggested from PyOpenSci Software Review). The Contributing guide now lists three separate subsections to help users understand the gains from optional dependencies. (GH/1335, PR/1338, suggested from PyOpenSci Software Review).
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».