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Atmospheric Pollution

2006· book-chapter· en· W4388136197 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsnot available
Fundersnot available
KeywordsDirectiveEnvironmental planningEuropean unionLegislationAction planLegislatureAir quality indexEnvironmental protectionCommissionEnvironmental scienceBusinessEuropean commissionPollutionEnvironmental resource managementPolitical scienceMeteorologyLawGeographyComputer scienceManagementInternational trade

Abstract

fetched live from OpenAlex

Abstract Similarly to 2003, most of the developments on air pollution for 2004 involve old initiatives and no significant new proposals. Among the old legislative dossiers of great importance is the draft Fourth Air Quality Daughter Directive relating to Heavy Metals and Polycyclic Aromatic Hydrocarbons. This Directive is the last in the set of legislation that had to be adopted pursuant to Directive 96/62/EC on Ambient Air Quality and Management (Air Quality Framework Directive), and is an important element of the overall strategy to improve air quality in the European Union (EU). Other dossiers to look out for include the Directive on Paints and Solvents, aimed at reducing volatile organic compounds (VOCs), and the draft Directive on Sulphur-Free Shipping Fuel. On the international arena, a key development will be how the question of methyl bromide phase-out is dealt with in the extraordinary and the regular Meeting of the Parties (MOP) of the Montreal Protocol, which both take place this year. In 2004, the European Commission (Commission) published the required guidance for the implementation of Directive 2002/3/EC relating to Ozone in Ambient Air (Ozone Directive). The Commission Decision contains advice on the development of short-term action plans that must be drawn up in the event of exceedances of ozone alert thresholds, as well as on strategies to measure ozone precursors. It provides for geographical differences, regional extension, duration of possible measures, and gives examples of short-term actions. In the case of guidance on monitoring levels, the Decision supplies recommendations for the location of the mandatory measuring station.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.151
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1510.098

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 head0.006
GPT teacher head0.181
Teacher spread0.175 · 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
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

Citations0
Published2006
Admission routes1
Has abstractyes

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