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Record W2511804741 · doi:10.1071/ch16451

Substance Abuse: Carbon Tetrachloride and the Ozone Layer*

2016· article· en· W2511804741 on OpenAlexaboutno aff
Ian D. Rae

Bibliographic record

VenueAustralian Journal of Chemistry · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersUniversity of MelbourneRoyal Australian Chemical Institute
KeywordsCarbon tetrachlorideChemistryOzoneCarbon monoxideEnvironmental chemistryOzone layerTetrachloroethyleneCarbon fibersOrganic chemistryInorganic chemistryTrichloroethyleneCatalysisMaterials science

Abstract

fetched live from OpenAlex

Each year, ~200000 tonnes of carbon tetrachloride are produced and consumed as a solvent, a starting material for synthesis, or in standard methods of analysis. Because it is an ozone-depleting substance, this information is reported on an annual basis to the Montreal Protocol, under which it is a ‘controlled’ substance. Replacing emissive uses of carbon tetrachloride with ozone-friendly chemicals is proceeding slowly. One example is the use of tetrachloroethylene as a replacement for carbon tetrachloride in oil and grease analysis by infrared spectroscopy. Overall, however, there is more carbon tetrachloride in the upper atmosphere than can be accounted for in terms of known uses and emissions. The discrepancy is the subject of intensive and repeated investigation by atmospheric scientists.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.205
Teacher spread0.192 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

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