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Record W4393657686 · doi:10.5281/zenodo.10125833

Supporting information, WRF output, and processed WRF files used for the generation of the manuscript "Observational and modelling analysis of Canada's only F5/EF5 tornado"

2023· dataset· en· W4393657686 on OpenAlexaffabout
Chun‐Chih Wang

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsWeather Research and Forecasting ModelTornadoMeteorologyEnvironmental scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

WRF simulation output and processed files used to generate the figures and calculations in the manuscript "Observational and modelling analysis of Canada's only F5/EF5 tornado". Two zipped folders are attached, one is from the original control simulation with the microphysics scheme on (MP), and the other is from the experimental simulation with the microphysics scheme turned off (NOMP). Each simulation zipped folder includes sub-directories containing the processed observed and simulated surface station data, surface wet-bulb potential temperature, cross sections (the MP simulation only), and convective parameter fields at 2100 UTC 22 June 2007. A supplemental material in the form of a movie showing the radar observation between 2000 UTC 22 June 2007 and 0000 UTC 23 June 2007 is also attached. See the manuscript's Figure 5 caption for more information on the data shown in the animation.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.726
Threshold uncertainty score0.594

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1770.090

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 head0.100
GPT teacher head0.246
Teacher spread0.146 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2023
Admission routes2
Has abstractyes

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