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Record W3213728495

Impact of Ozone Layer Depletion on Enviroment

2021· article· en· W3213728495 on OpenAlexaboutno aff
Fareeha Shahid

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
Fundersnot available
KeywordsOzone layerOzone depletionOzoneStratosphereEnvironmental scienceMontreal ProtocolBiospherePollutantUltraviolet bTropospheric ozoneAtmospheric sciencesEnvironmental chemistryChemistryEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The presence of ozone in stratosphere has play very important role in existence and survival of human beings and all other kind of life. It is very important factor for all kind of biological and global phenomenon. It is very important because it act as a barrier against the harmful ultraviolet radiations and balance the life in biosphere. But unfortunately, different anthropogenic activities such as emissions of CFCs, HCFCs, methyl chloride, methyl bromide and other halogens lead to the depletion of ozone. The ozone depletion resulted in production of an ozone layer in troposphere near the ground which act as a pollutant and it is responsible for adverse effects on plants, humans and aquatic environment and it has increased different kinds of diseases in humans. The mutations caused by UV rays result in variation in different traits of plants which ultimately decrease in production of crops. However, UV radiation is required in optimum intensity for both plants and animals. The wide-ranging effects of ozone depletion with most of them being detrimental for all kinds of system are being assessed. The adverse effects of ozone depletion can be minimized by adopting some measures including preferring public transport, minimizing the use of harmful nitrogenous compounds, planting trees and most important is the use of less harmful alternatives of ozone depletion substances.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.233
Teacher spread0.222 · 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
Published2021
Admission routes1
Has abstractyes

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