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Record W6950302843 · doi:10.5281/zenodo.7274811

Ouranosinc/xclim: v0.39.0

2022· other· en· W6950302843 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsOuranos
Fundersnot available
KeywordsResamplingProperty (philosophy)Class (philosophy)Code (set theory)DocumentationOperator (biology)Pascal (unit)Dependency (UML)

Abstract

fetched live from OpenAlex

Contributors to this version: Trevor James Smith (@Zeitsperre), Abel Aoun (@bzah), Éric Dupuis (@coxipi), Travis Logan (@tlogan2000), Pascal Bourgault (@aulemahal). New features and enhancements The general xclim description and ReadMe have been updated to reflect recent enhancements. (GH/1185, PR/1209). Documentation now supports intersphinx mapping references within code examples via sphinx-codeautolink and copying of code blocks via sphinx-copybutton. (PR/1182). Log-logistic distribution added to stats.py for use with standardized_precipitation_index and standardized_precipitation_evapotranspiration_index. (GH/1141, PR/1183). New option in many indices allowing for resampling in given periods after run_length operations. (GH/505, GH/916, GH/917, PR/1161). New base indicator class for sdba: StatisticalPropertyMeasure, those measures that also reduce the time (as a property does). (PR/1198). xclim.core.calendar.common_calendar to find the best calendar to use when uniformizing an heterogeneous collection of data. (PR/1217). xclim.ensembles.create_ensemble now accepts calendar=None, and uses the above function to guess the best one. It also now accepts cal_kwargs to fine tune the calendar conversion. (GH/1190, PR/1217). New data check : xclim.core.datachecks.check_common_time that ensures all inputs of multivariate indicators have the same frequency (and the same time anchoring for daily and hourly data). (GH/1111, PR/1217). New indicators New indices first_day_temperature_{above | below} and indicators xclim.indices.first_day_{tn | tg | tx}_{above | below}. These indices/indicators accept operator (op) keyword for finer threshold comparison controls. (GH/1175, PR/1186). New generic indice cumulative_difference for calculating difference between values and thresholds across time (e.g. temperature: degree-days, precipitation: moisture deficit), with or without resampling/accumulating by frequency. (PR/1202). New spatial sdba properties and measures : spatial_correlogram, scorr and first_eof. The later needs the optional dependency eofs. (PR/1198). Breaking changes Indices that accept lat or lon coordinates in their call signatures will now use cf-xarray accessors to gather these variables in the event that they are not explicitly supplied. (PR/1180). This affects the following: huglin_index, biologically_effective_degree_days, cool_night_index, latitude_temperature_index, water_budget, potential_evapotranspiration cool_night_index now optionally accepts lat: str = "north" | "south" for calculating CNI over DataArrays lacking a latitude coordinate. (PR/1180). The offset value in standardized_precipitation_evapotranspiration_index is changed to better reproduce results in the reference library monocongo/climate_indices. (GH/1141, PR/1183). The first_day_below and first_day_above indices are now deprecated in order to clearly communicate the variables they act upon (GH/1175, PR/1186). The suggested migrations are as follows: xclim.indices.first_day_above -> xclim.indices.first_day_temperature_above xclim.indices.first_day_below -> xclim.indices.first_day_temperature_below The first_day_below and first_day_above atmos indicators are now deprecated in order to clearly communicate the variables they act upon (GH/1175, PR/1186). The suggested migrations are as follows: xclim.atmos.first_day_above -> xclim.indices.first_day_{tn | tg | tx}_above xclim.atmos.first_day_below -> xclim.indices.first_day_{tn | tg | tx}_below The degree_days generic indice has been deprecated in favour of cumulative_difference that is not limited only to temperature variables (GH/1200, PR/1202). The indices for atmos.{heating | cooling | growing}_degree_days are now built from generic.cumulative_difference. Running pytest now requires the pytest-xdist distributed testing dependency. This library has been added to the dev requirements and conda environment configuration. (PR/1203). Parameters reducer and window in xclim.indices.rle_statistics are now positional. (PR/1161). The relative_annual_cycle_amplitude and annual_cycle_amplitude have been rewritten to match the version defined in the VALUE project, outputs will change drastically (for the better) (PR/1198). English indicator metadata has been adjusted to remove frequencies from fields in the long_name of indicators. English indicators now have an explicit title and abstract. (GH/936, PR/1123). French indicator metadata translations are now more uniform and more closely follow agreed-upon grammar conventions, while also removing frequency fields in long_name_fr. (GH/936, PR/1123). The freshet_start indice is now deprecated in favour of first_day_temperature_above with thresh='0 degC', window=5. The freshet_start indicator is now based on first_day_temperature_above, but is otherwise unaffected. (GH/1195, PR/1196). Call signatures for several indices/indicators have been modified to optionally accept op for manually setting threshold comparison operators (GH/1194, PR/1197). The affected indices and indicators as follows: hot_spell_max_length, hot_spell_frequency, cold_spell_days, cold_spell_frequency, heat_wave_index, warm_day_frequency (indice only), warm_night_frequency (indice only), dry_days, wetdays, wetdays_prop. Cleaner xclim.core.calendar.parse_offset : fails on invalid frequencies, return implicit anchors (YS -> JAN, Y -> DEC) and implicit is_start_anchored (D -> True). (GH/1213, , PR/1217). Bug fixes The docstring of cool_night_index suggested that lat was an optional parameter. This has been corrected. (GH/1179, PR/1180). The mean_radiant_temperature indice was accessing hardcoded lat and lon coordinates from passed DataArrays. This now uses cf-xarray accessors. (PR/1180). Adopt (and adapt) unit registry declaration and preprocessors from cf-xarray to circumvent bugs caused by a refactor in pint 0.20. It also cleans the code a little bit. (GH/1211, PR/1212). Internal changes The documentation build now relies on sphinx-codeautolink and sphinx-copybutton. (PR/1182). Many docstrings did not fully adhere to the numpy docstring format. Fields and entries for many classes and functions have been adjusted to adhere better. (PR/1182). The xdoctest namespace now provides access to session-scoped {variable}_dataset accessors, as well as a path_to_atmos_file object. These can be used for running doctests on all variables made in the pytest atmosds() fixture. (PR/1882). Upgrade CodeQL GitHub Action to v2. (GH/1188, PR/1189). New generic index first_day_threshold_reached is now used to compose all first_day_XYZ indices. (GH/1175, PR/1186). In order to reduce computation footprint, the GitHub CI full testing suite and doctests are now only run once a pull request has been reviewed and approved. The number of simultaneously triggered builds has also been reduced. (GH/1155, PR/1203). ReadTheDocs now only builds full documentation (including running notebooks) when pull requests are merged to the main branch. (GH/1155, PR/1203). xclim now leverages pytest-xdist to distribute tests among Python workers and significantly speed up the testing suite. (PR/1203). show_versions can now accept a list of dependencies so that other libraries can make use of this utility. (PR/1215). Pull Requests now are automatically tagged (CI, docs, indicators, and/or sdba) according to files modified using the GitHub Labeler Action. (PR/1214).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.537
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0070.006
Open science0.0090.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.5370.614

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.

Opus teacher head0.036
GPT teacher head0.251
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreSoftware

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".

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Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)French-language works237,207