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Record W3157670683

A Review Paper on Latest Refrigerants

2019· review· en· W3157670683 on OpenAlexaboutno aff
Swet Chandan

Bibliographic record

VenueJournal of Emerging Technologies and Innovative Research · 2019
Typereview
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantEnvironmentally friendlyAir conditioningOzone layerGlobal-warming potentialEnvironmental scienceRefrigerationGlobal warmingMontreal ProtocolFlammabilityWaste managementProcess engineeringEnvironmental engineeringEngineeringOzoneChemistryGreenhouse gasClimate changeGas compressorMechanical engineeringOrganic chemistryEcology
DOInot available

Abstract

fetched live from OpenAlex

The rising problem in today's atmosphere is the effects of various refrigerants on the degradation of the ozone layer and the rise of global warming. The key explanation for this environmental effect is chlorine with halogenated hydrocarbons, known as CFCs, which are used as refrigerants in refrigerators and air conditioners in all residential, industrial or commercial applications. This paper examines the different refrigerants generated to address numerous other issues such as flammability and toxicity of refrigerants generation after generation.By observing the physical, chemical, environmental and protection properties of different refrigerants. With the development in the refrigeration and air conditioning field, we must have heard that science is now in the process of choosing or developing the right option of refrigerant that is environmentally friendly with the substitution of older refrigerants. In addition, it is observed that next generation refrigerants are generated on the basis of '0' ozone depletion potential and low global warming potential to be both environmentally stable and environmentally friendly.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.008

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 head0.183
GPT teacher head0.447
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 designNot applicable
Domainnot available
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of Emerging Technologies and Innovative ResearchSame topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207