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Record W2911497259 · doi:10.1021/cen-09235-notw5

OZONE DEPLETION Emissions of carbon tetrachloride continue despite global prohibition

2014· article· en· W2911497259 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChemical & Engineering News · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCitationIconComputer scienceLibrary sciencePolitical science

Abstract

fetched live from OpenAlex

To protect Earth’s ozone layer, most uses of carbon tetrachloride were banned years ago. According to reports filed by countries around the world, emissions of this ozone-depleting substance were virtually nil since 2007. But researchers now estimate that some 39,000 metric tons of the chemical were released each year from 2000 to 2012. “We are not supposed to be seeing this,” says Qing Liang, a NASA atmospheric scientist who led an international team that made the finding (Geophys. Res. Lett. 2014, DOI: 10.1002/2014gl060754). “There are either unidentified industrial leakages, large emissions from contaminated sites, or unknown CCl4 sources.” All countries that are members of the United Nations agreed through the Montreal Protocol on Substances That Deplete the Ozone Layer to phase out uses of CCl4 that lead to emissions, such as in fire extinguishers. Under that treaty, the compound is still legally manufactured, mainly as a feedstock for producing hydrofluorocarbons, ...

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.457

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 head0.005
GPT teacher head0.201
Teacher spread0.197 · 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