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Record W2944508921 · doi:10.24817/jkk.v0i0.5142

Dampak Klorofluorokarbon Terhadap Lingkungan Hidup

2014· article· id· W2944508921 on OpenAlexaboutno aff
Sumingkrat Sumingkrat

Bibliographic record

VenueJurnal Kimia dan Kemasan · 2014
Typearticle
Languageid
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsOzone layerGreenhouse gasOzone depletionMontreal ProtocolAtmosphere (unit)OzoneEnvironmental scienceLayer (electronics)UltravioletGreenhouse effectEnvironmental protectionAstrobiologyMeteorologyGlobal warmingClimate changeGeographyChemistryOceanographyGeologyPhysics

Abstract

fetched live from OpenAlex

As the first step in tackling environmental issues related to the protection of the ozone layer have been reviewed internationally. In Indonesia under the "Law concerning the Protection of the Ozone Layer by Means of Regulation on Specified Substance", regulations on the production and importation of controlled CFCs have been enforced since March 1991. The problems with CFCs are primarily environmental. CFCs destroy the stratospheric ozone layer that protects people from harmful ultraviolet rays from the sun. Already, holes and breaks in the ozone layer are apparent to scientists. Without the ozone layer's protective shild, skin cancer and eye damage are more likely among people, and the marine food chain could be profoundly disrupted. In addition, CFCs are responsible for about one-fifth of the greenhouse gases emitted into the atmosphere every year.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.113

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.006

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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
Published2014
Admission routes1
Has abstractyes

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