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Record W6893825943 · doi:10.5281/zenodo.5649661

Ouranosinc/xclim: v0.31.0

2021· other· en· W6893825943 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typeother
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsOuranos
Fundersnot available
KeywordsComplement (music)Value (mathematics)Key (lock)Pascal (unit)Window (computing)

Abstract

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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 <code>thawing_degree_days</code> indicator returns degree-days above a default of <code>thresh="0 degC"</code>. (PR/895, GH/887). <code>freezing_degree_days</code> indicator returns degree-days below a default of <code>thresh="0 degC"</code>. (PR/895, GH/887). Several frost-free season calculations are now available as both indices and indicators. (PR/895, GH/887): <code>frost_free_season_start</code> <code>frost_free_season_end</code> <code>frost_free_season_length</code> <code>growing_season_start</code> is now offered as an indice and as an indicator to complement other growing season-based indicators (threshold calculation with <code>op="&gt;="</code>). (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 <code>align_on='random</code> option for <code>xclim.core.calendar.convert_calendar</code>, for conversions involving '360_day' calendars. (PR/875, GH/841). <code>dry_spell_frequency</code> now has a parameter <code>op: {"sum", "max"}</code> to choose if the threshold is compared against the accumulated or maximal precipitation, over the given window. (PR/879). <code>maximum_consecutive_frost_free_days</code> 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 <code>sdba.loess</code> algorithm has been optimized to run faster in all cases, with an even faster special case (<code>equal_spacing=True</code>) 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 <code>LoessDetrend</code>. Add new <code>RollingMeanDetrend</code> 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, <code>bootstrap</code> 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 <code>xclim.generic.daily_downsampler</code>, as it served no purpose now that xarray's resampling works with cftime (PR/888, GH/889). Refactor of <code>xclim.core.calendar.parse_offset</code>, 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. <code>Indicator.parameters</code> is now a property generated from <code>Indicator._all_parameters</code>, as the latter includes the injected parameters. The keys of the former are instances of new <code>xclim.core.indicator.Parameter</code>, and not dictionaries as before. New <code>Indicator.injected_parameters</code> 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 <code>huglin_index</code> has been modified to reflect the correct variables used in its formula (<code>tasmin</code> -&gt; <code>tas</code>; <code>thresh_tasmin</code> -&gt; <code>thresh</code>). (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 <code>stack_variables</code>, <code>unstack_variables</code>, <code>construct_moving_yearly_window</code> and <code>unpack_moving_yearly_window</code> from <code>xclim.sdba.base</code> to <code>xclim.sdba.processing</code>. They still are imported in <code>xclim.sdba</code> 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 <code>cftime.datetime</code>. (PR/859). Fix a bug in <code>build_indicator_module_from_yaml</code> where bases classes (Daily, Hourly, etc) were not usable with the <code>base</code> field. (PR/885). <code>percentile_doy</code> 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, <code>xclim.indices.run_length.lazy_indexing</code> now drops the auxiliary coordinate corresponding to da's index. This fixes a bug with ND data in <code>xclim.indices.run_length.season</code>. (PR/900). Fix name of heating degree days in French (<code>"chauffe"</code> -&gt; "<code>chauffage</code>"). (PR/895). Corrected several French indicator translation description strings (bad usages of <code>"."</code> in <code>description</code> and <code>long_name</code> fields). (PR/895). Fixed an error with the formula for <code>huglin_index</code> where <code>tasmin</code> was being used in the calculation instead of <code>tas</code>. (PR/903, GH/902).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1890.018

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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations9
Published2021
Admission routes1
Has abstractyes

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