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Record W1967834574 · doi:10.1029/2003eo390005

Montreal Protocol benefits cited

2003· article· en· W1967834574 on OpenAlexaboutno aff
Randy Showstack

Bibliographic record

VenueEos · 2003
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal ProtocolProtocol (science)Environmental scienceOzone layerConsumption (sociology)Kyoto ProtocolEnvironmental protectionOzoneGeographyMeteorologyGreenhouse gasMedicineEcologyArt

Abstract

fetched live from OpenAlex

The Montreal Protocol on Substances that Deplete the Ozone Layer has succeeded in eliminating the emission of millions of tons of ozone‐depleting chemicals per year, according to a report issued by the World Bank on 16 September. The “Montreal Protocol Status Report” notes that annual global consumption of chlorofluoro‐carbons (CFCs) plummeted from 1.1 million to 150,000 tons between 1986 and 1999. Without the protocol, CFC consumption would have reached 3 million tons in 2010 and 8 million tons in 2060, according to the report.

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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.662
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0050.001
Scholarly communication0.0080.004
Open science0.0040.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.6620.470

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations19
Published2003
Admission routes1
Has abstractyes

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