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Record W2240978222 · doi:10.33366/bs.v9i2.234

UPAYA MENGURANGI PENIPISAN LAPISAN OZON

2009· article· ms· W2240978222 on OpenAlexaboutno aff
Widowati Widowati, Sutoyo Sutoyo

Bibliographic record

VenueBUANA SAINS · 2009
Typearticle
Languagems
FieldAgricultural and Biological Sciences
TopicNatural Products and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsOzoneOzone layerMontreal ProtocolAtmosphere (unit)Ozone depletionStratosphereEnvironmental scienceTroposphereChemistryEnvironmental chemistryAtmospheric sciencesMeteorologyOrganic chemistry

Abstract

fetched live from OpenAlex

Ozone is one of the constituent gases of the atmosphere. This gas is concentrated in the stratosphere layer functions as a UV filter so as not to cause damage on the surface of the earth. This layer of ozone in most produced by the reaction of oxygen with ultraviolet light. Ozone in the troposphere is the layer of air pollutants and harmful to the respiratory system of human, animal and plant metabolism. The presence of ozone in Earth's atmosphere in low concentrations throughout the year. Decreased concentration or the ozone layer depletion triggered by the compounds of CFCs (Chloro Fluoro Carbon) and ODS (Ozone depleting Subsantance). ODS compounds include nitrogen oxide (N2O) is a byproduct of combustion, methyl bromide, carbon tetrachlorida and methyl chloroform. To determine the thickness of the ozone layer is measured by satellite instruments or Nimbus-7 satellite instruments EP-toms. Total concentration of atmospheric ozone standard can be determined using the unit DU (Dobson Unit). Concentration at a point can also be measured in units of ppb (parts per billion) or in μg.m³. Efforts to reduce ozone layer depletion, among others, regularly measure the thickness of the ozone, suppress the use of CFC compounds that are widely used as refrigrant in freezers, refrigerators, room air conditioning and engine cooling, spray cans for air freshener, perfumes, solvents, foam developers and reduce the use of ODS substances which have been agreed by the international community through the Montreal Protocol, Canada in 1987

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.202
Threshold uncertainty score0.676

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2020.086

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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