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Record W4406384985 · doi:10.1038/s41597-025-04420-2

Author Correction: Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves

2025· erratum· en· W4406384985 on OpenAlexaff
Anaïs Machard, Agnese Salvati, Mamak P. Tootkaboni, Abhishek Gaur, Jiwei Zou, Liangzhu Wang, Fuad Baba, Hua Ge, Facundo Bre, Emmanuel Bozonnet, Vincenzo Corrado, Xuan Luo, Ronnen Levinson, Sang Hoon Lee, Tianzhen Hong, Marcelo Salles Olinger, Rayner Maurício e Silva Machado, Emeli Lalesca Aparecida da Guarda, Rodolfo Kirch Veiga, Roberto Lamberts, Afshin Afshari, Delphine Ramon, Hoang Ngoc Dung Ngo, Abantika Sengupta, Hilde Breesch, Nicolas Heijmans, Jade Deltour, Xavier Kuborn, Sana Sayadi, Bin Qian, Chen Zhang, Ramin Rahif, Shady Attia, Philipp Stern, Peter Holzer

Bibliographic record

VenueScientific Data · 2025
Typeerratum
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsConcordia UniversityNational Research Council Canada
Fundersnot available
KeywordsResilience (materials science)Climate changeExtreme weatherEnvironmental scienceClimate extremesClimatologyGeographyEnvironmental resource managementEcologyGeologyBiology

Abstract

fetched live from OpenAlex

In this article the author’s name Marcelo Salles Olinger was incorrectly given as Marcello Salles Olinger. The original article has been corrected.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.312
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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