Notice bibliographique
Résumé
Contributors to this version: Abel Aoun (@bzah), Pascal Bourgault (@aulemahal), David Huard (@huard), Juliette Lavoie (@juliettelavoie), Travis Logan (@tlogan2000), Trevor James Smith (@Zeitsperre). New indicators thawing_degree_days indicator returns degree-days above a default of thresh="0 degC". (PR/895, GH/887). freezing_degree_days indicator returns degree-days below a default of thresh="0 degC". (PR/895, GH/887). Several frost-free season calculations are now available as both indices and indicators. (PR/895, GH/887): frost_free_season_start frost_free_season_end frost_free_season_length growing_season_start is now offered as an indice and as an indicator to complement other growing season-based indicators (threshold calculation with op=">="). (PR/895, GH/887). New features and enhancements Improve cell_methods checking to search the wanted method within the whole string. (PR/866, GH/863). New align_on='random option for xclim.core.calendar.convert_calendar, for conversions involving '360_day' calendars. (PR/875, GH/841). dry_spell_frequency now has a parameter op: {"sum", "max"} to choose if the threshold is compared against the accumulated or maximal precipitation, over the given window. (PR/879). maximum_consecutive_frost_free_days is now checking that the minimum temperature is above or equal to the threshold ( instead of only above). (PR/883, GH/881). The ANUCLIM virtual module has been updated to accept weekly and monthly inputs and with improved metadata. (PR/885, GH/538) The sdba.loess algorithm has been optimized to run faster in all cases, with an even faster special case (equal_spacing=True) when the x coordinate is equally spaced. When activated, this special case might return results different from without, up to around 0.1%. (PR/865). Add support for group's window and additional dimensions in LoessDetrend. Add new RollingMeanDetrend object. (PR/865). Missing value algorithms now try to infer the source timestep of the input data when it is not given. (PR/885). On indices, bootstrap parameter documentation has been updated to explain when and why it should be used. (PR/893, GH/846). Breaking changes Major changes in the YAML schema for virtual submodules, now closer to how indicators are declared dynamically, see the doc for details. (PR/849, GH/848). Removed xclim.generic.daily_downsampler, as it served no purpose now that xarray's resampling works with cftime (PR/888, GH/889). Refactor of xclim.core.calendar.parse_offset, output types were changed to useful ones (PR/885). Major changes on how parameters are passed to indicators. (PR/873): Their signature is now consistent : input variables (DataArrays, optional or not) are positional or keyword arguments and all other parameters are keyword only. (GH/855, GH/857) Some indicators have modified signatures because we now rename variables when wrapping generic indices. This is the case for the whole cf module, for example. Indicator.parameters is now a property generated from Indicator._all_parameters, as the latter includes the injected parameters. The keys of the former are instances of new xclim.core.indicator.Parameter, and not dictionaries as before. New Indicator.injected_parameters to see which compute function arguments will be injected at call time. See the pull request (PR/873) for all information. The call signature for huglin_index has been modified to reflect the correct variables used in its formula (tasmin -> tas; thresh_tasmin -> thresh). (PR/903, GH/902). Internal changes Pull Request contributions now require hyperlinks to the issue and pull request pages on GitHub listed alongside changess in HISTORY.rst. (PR/860,GH/854). Updated the contribution guidelines to better give credit to contributors and more easily track changes. (PR/869, GH/868). Enabled coveralls code coverage reporting for GitHub CI. (PR/870). Added automated TestPyPI and PyPI-publishing workflows for GitHub CI. (PR/872). Changes on how indicators are constructed. (PR/873). Added missing algorithms tests for conversion from hourly to daily. (PR/888). Updated pre-commit hooks to use black v21.10.b0. (PR/896). Moved stack_variables, unstack_variables, construct_moving_yearly_window and unpack_moving_yearly_window from xclim.sdba.base to xclim.sdba.processing. They still are imported in xclim.sdba as before. (PR/892). Many improvements to the documentation. (PR/892, GH/880). Added regex replacement handling in setup.py to facilitate publishing contributor/contribution links on PyPI. (PR/906). Bug fixes Fix a bug in bootstrapping where computation would fail when the dataset time coordinate is encoded using cftime.datetime. (PR/859). Fix a bug in build_indicator_module_from_yaml where bases classes (Daily, Hourly, etc) were not usable with the base field. (PR/885). percentile_doy alpha and beta parameters are now properly transmitted to bootstrap calls of this function. (PR/893, GH/846). When called with a 1D da and ND index, xclim.indices.run_length.lazy_indexing now drops the auxiliary coordinate corresponding to da's index. This fixes a bug with ND data in xclim.indices.run_length.season. (PR/900). Fix name of heating degree days in French ("chauffe" -> "chauffage"). (PR/895). Corrected several French indicator translation description strings (bad usages of "." in description and long_name fields). (PR/895). Fixed an error with the formula for huglin_index where tasmin was being used in the calculation instead of tas. (PR/903, GH/902).
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,005 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,009 | 0,009 |
| Science ouverte | 0,012 | 0,008 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,718 | 0,824 |
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 source (Gemma direct ou Codex distillé), 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 ».