MétaCan
Menu
Back to cohort
Record W2905331152 · doi:10.14419/ijet.v7i3.14.16858

Trends Analysis of Ozone Hole Annual Records Using SBUV Data Version 8.6 (1979 to 2017 Datasets)

2018· article· en· W2905331152 on OpenAlexaboutno aff
Mohd Ekhwan Toriman, Musa Garba Abdullahi, Mohd Khairul Amri Kamarudin, R Umar, Aliyu Muhammad Nalado, Md Firoz Khan

Bibliographic record

VenueInternational Journal of Engineering & Technology · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationUniversiti Sultan Zainal AbidinNational Aeronautics and Space Administration
KeywordsStratosphereOzoneMontreal ProtocolOzone depletionOzone layerAtmospheric sciencesEnvironmental sciencePolar vortexClimatologyLatitudeMiddle latitudesAtmosphere (unit)MeteorologyGeologyGeography

Abstract

fetched live from OpenAlex

Ozone is the triatomic of oxygen forms within the Earth's atmosphere from the ultraviolet dissociation of oxygen molecules, within tropical stratosphere. It is conveyed toward the extratropics through the Brewer-Dobson circulation (BDC), generating a layer in the stratosphere known as a protective ozone layer. The data from NASA and NOAA measurements of ozone shows that the ozone layer has stopped deteriorating across the world; nonetheless no strong intensification has been detected at latitudes amongst 60° S and 60° N in the outer the Polar Regions within 60° to 90°.In this study, the evidence of the ozone hole from satellite measurements, and evidence that ozone within the lower stratosphere at the amid of 60° S and 60° N has continuous to decline after the Montreal Protocol. This study explained that, upper stratospheric ozone is improving; the recent descending trend in the lower stratosphere prevails, consequential in a descending trend in stratospheric ozone amongst 60° S and 60° N. The trend indicated that by 2060 to 2080, the ozone hole is expecting to have complete heal. Hence, the details for the continual decrease of ozone in the lower stratosphere are not clear; this study models do not prescribe these trends, and thus is a gap for another research.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Engineering & TechnologySame topicAtmospheric Ozone and ClimateFrench-language works237,207