MétaCan
Menu
Back to cohort
Record W2913403821

Refrigerant and the Environment- issues and planning for the future-A study

2018· article· en· W2913403821 on OpenAlexaboutno aff
D.K. Joshi

Bibliographic record

VenueRefrigeration and Air-Conditioning · 2018
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantOzone layerContext (archaeology)Greenhouse gasEnvironmental scienceHeat exchangerGlobal-warming potentialMontreal ProtocolGlobal warmingGas compressorOzone depletionCarbon dioxideWaste managementProcess engineeringOzoneClimate changeEngineeringChemistryMechanical engineeringEcology
DOInot available

Abstract

fetched live from OpenAlex

Abstract However, the halogenated refrigerants have undesirable environmental impacts such as ozone layer depletion potential and global warming. Hence, it is necessary to go for alternative refrigerants to satisfy the objectives of the international protocols. Future international commitments on the protection of the environment, particularly for reducing greenhouse gas emissions and better protection of the ozone layer by use of other suitably refrigerants. In this context, the use of refrigerants (air, carbon dioxide or ammonia) becomes a possible solution. This paper reviews study of redeploying these natural refrigerants as an alternative solution to replace halogenated refrigerants. Few steps are also studied like change in system equipment compressor, heat exchanger, reduction in refrigerant charge and operating procedures.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRefrigeration and Air-ConditioningSame topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207