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Record W3034715279

Recycling HFC refrigerants delivers immediate, cost-effective climate protection.

2015· article· en· W3034715279 on OpenAlexaboutno aff
Jeremiah Y. Cohen, James L. Madden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGreen IT and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantGreenhouse gasGlobal warmingEnvironmental scienceGlobal-warming potentialNatural resource economicsGreenhouse effectClimate changeCarbon dioxideWaste managementMontreal ProtocolEnvironmental protectionEngineeringOzone layerMeteorologyHeat exchangerEconomicsOzoneChemistryGeography
DOInot available

Abstract

fetched live from OpenAlex

HFCs are powerful greenhouse gases (GHGs) and are among the fastest-growing GHGs in the world. Even with a global agreement to phase down production of hydrofluorocarbons (HFCs), and regulations that promote low-global warming potential (GWP) technology in new equipment, refrigerants already produced will continue to leak powerful greenhouse gases to the atmosphere over the next several decades. With relatively small changes in practices and little if any additional cost, HFC refrigerants can be recovered, reclaimed and re-used, potentially avoiding emissions the equivalent of 18 billion tons of carbon dioxide (CO2) between now and 2040—a critical window to address climate change.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.240
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2015
Admission routes1
Has abstractyes

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