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Record W4210478758 · doi:10.1016/j.fmre.2022.01.012

A commentary of “Antarctic ozone layer is gradually recovering” in 10 remarkable discoveries from 2020 in Nature

2022· article· en· W4210478758 on OpenAlexaboutno aff
Wenshou Tian

Bibliographic record

VenueFundamental Research · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMontreal ProtocolOzoneAtmosphere (unit)Ozone layerEnvironmental scienceAtmospheric sciencesSouthern HemisphereAtmospheric circulationClimatologyOzone depletionGeologyMeteorologyGeography

Abstract

fetched live from OpenAlex

In the mid-1980s, scientists discovered a spring atmospheric ozone hole over Antarctica, revealing the threat of human-made ozone-depleting substances to the atmosphere. The Antarctic ozone hole located 10 to 20 km above sea level, also affects the circulation of the atmosphere in the southern hemisphere, which in turn affects the global climate. One of its most noticeable effects is that the westerly jet in summer begins to move to the poles. The westerly jet is a planetary-scale atmospheric circulation phenomenon; there are several jet zones on the Earth. The 1987 Montreal Protocol and its subsequent amendments banned the production and use of ozone-depleting substances. Therefore, the concentration of ozone-depleting substances in the atmosphere is declining, and the ozone layer has shown preliminary signs of recovery. The study by Banerjee et al. pointed out that ozone hole-related effects on circulation and climate have ceased since the ozone layer began to recover [1]. While others had noticed this trend of cessation of ozone hole effects before, Banerjee and others officially attributed it to the impact of the Montreal Protocol for the first time.

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)0.008
metaresearch head score (Gemma)0.032
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.018
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.006
Open science0.0030.003
Research integrity0.0180.036
Insufficient payload (model declined to judge)0.0080.004

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 head0.035
GPT teacher head0.311
Teacher spread0.276 · 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
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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