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Record W4367149308 · doi:10.1021/cen-09931-polcon3

Ozone treaty holds down atmospheric CO₂ levels

2021· article· en· W4367149308 on OpenAlexaboutno aff
CHERYL HOGUE

Bibliographic record

VenueC&EN Global Enterprise · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal ProtocolOzone layerStratosphereOzoneCarbon sinkEnvironmental scienceAtmospheric sciencesKyoto ProtocolMeteorologyGreenhouse gasEcosystemGeographyEcologyBiology

Abstract

fetched live from OpenAlex

An international treaty to protect stratospheric ozone is slowing the growth of atmospheric levels of carbon dioxide, according to a team of scientists ( Nature 2021, DOI: 10.1038/s41586-021-03737-3 ). The 1987 Montreal Protocol on Substances that Deplete the Ozone Layer is reversing loss in the stratosphere of the triatomic molecule that screens the Earth’s surface from the sun’s ultraviolet rays, protecting both humans and ecosystems from damage. One consequence is that land plants are healthier and able to absorb more CO 2 for photosynthesis than they would have absent the pact, the researchers say. Led by Paul J. Young , an atmospheric scientist at Lancaster University in the UK, the team used computer models to estimate the benefits of avoided increases in UV radiation on terrestrial plants and their ability to act as a carbon sink. The researchers estimate that by 2080–99 the Montreal Protocol will lead to atmospheric CO

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)0.003
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0120.005

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 head0.324
Teacher spread0.304 · 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
Published2021
Admission routes1
Has abstractyes

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