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Record W4401614105 · doi:10.1183/13993003.01288-2024

Lunging through the pollution–exercise paradox: clean air during Olympic and Paralympic Games and beyond

2024· editorial· en· W4401614105 on OpenAlexaff
Christopher Carlsten, Isabella Annesi‐Maesano

Bibliographic record

VenueEuropean Respiratory Journal · 2024
Typeeditorial
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsMedicinePollutionAir pollutionEcology

Abstract

fetched live from OpenAlex

Extract The 2024 Olympic Games and Paralympic Games lead us, as pulmonologists, to reflect on the sport, air pollution and respiratory health triad, and potential compromises at their intersection. Prompted by the scrutiny for any factor that can tip the highly competitive scale of the Games, this theme is of interest to all citizens well beyond the spotlight and glory of these dramatic events.

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)0.006
metaresearch head score (Gemma)0.018
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.018
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0090.005
Open science0.0040.002
Research integrity0.0180.023
Insufficient payload (model declined to judge)0.0090.006

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 head0.019
GPT teacher head0.282
Teacher spread0.263 · 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
GenreEditorial

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
Published2024
Admission routes1
Has abstractyes

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