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Record W2382682470

Estimated historical and future emissions of CFC-11 and CFC-12 in China

2010· article· en· W2382682470 on OpenAlexaboutno aff
Deying Liu

Bibliographic record

VenueActa Scientiae Circumstantiae · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Impact and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceChinaMontreal ProtocolRefrigerationPer capitaAir conditioningGreenhouse gasConditionersMeteorologyAgricultural economicsEnvironmental engineeringEngineeringGeographyEconomicsPopulationOzone layerOzone
DOInot available

Abstract

fetched live from OpenAlex

In this paper,the historical and future consumptions of CFC-11 and CFC-12 in China are estimated based on the consumption data and phase-out process in all CFC-11 and CFC-12 application sectors such as household refrigeration,industrial and commercial refrigeration,automobile air conditioners,as well as the aerosol,tobacco and foam sectors.Annual emissions in the past and future were calculated according to the consumptions and corresponding emission equations.Results show that the total consumptions of CFC-11 and CFC-12 in China are 397,900 and 409,700 tons respectively during the period from 1978 when the CFCs first came into use to the year when CFCs will be eliminated.This means that the CFC-11 and CFC-12 consumptions in China are 197,800 tons less than the required target of the Protocol.The total emissions of CFC-11 and CFC-12 in China are 4.66% and 3.16% of global emissions from 1950 to 1999,with per capita emission and per unit area emission much lower than the global average.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.228
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

Citations4
Published2010
Admission routes1
Has abstractyes

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