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Record W4400178898 · doi:10.1175/bams-d-24-0071.1

New WMO Certified Tropical Cyclone Duration Extreme: TC Freddy (04 February to 14 March 2023) Lasting for 36.0 Days

2024· article· en· W4400178898 on OpenAlexaff
Craig Earl‐Spurr, Sébastien Langlade, Daniel Krahenbuhl, Sim D. Aberson, Manola Brunet, Johnny C. L. Chan, Chris Fogarty, Christopher W. Landsea, Blair Trewin, Christopher S. Velden, Robert C. Balling, Randall S. Cerveny

Bibliographic record

VenueBulletin of the American Meteorological Society · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsMEG-3 (Canada)Nova Scotia Cancer Centre
Fundersnot available
KeywordsTropical cycloneDuration (music)Environmental scienceMeteorologyClimatologyCyclone (programming language)GeographyGeologyPhysicsEngineering

Abstract

fetched live from OpenAlex

Many extremes involving tropical cyclone (TC) activity (e.g., intensity, size, duration, rainfall, and mortality) have been part of the World Meteorological Organization (WMO)’s World Weather and Climate Extremes Archive (https://wmo.int/site/world-weather-and-climate-extremes-archive) since its creation in 2007. Most of the TC extremes were accepted into the Archive without formal investigation, having been taken from previous compilations such as that from the Atlantic Oceanographic and Meteorological Laboratory (https://www.aoml.noaa.gov/hrd-faq/).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.263
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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