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Record W2460793867

Effects of long range transported air pollution (LRTAP) on freshwater ecosystem services (ICP Waters report 115/2013)

2013· article· en· W2460793867 on OpenAlexaboutno aff
Silje Holen, R. Wright, Isabel Seifert

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Science and Water Management
Canadian institutionsnot available
FundersNorsk Institutt for Vannforskning
KeywordsEnvironmental sciencePollutionEcosystem servicesRange (aeronautics)EcosystemWater pollutionAir pollutionEnvironmental chemistryEcologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Acid deposition affects the services provided by freshwater ecosystems. The loss of sport fisheries is by far the most important ecosystem service affected. Both inland fisheries (such as brown trout) and anadromous fish (such as Atlantic salmon) are sensitive to acidification. Damage and loss of fish populations has large ramifications on other ecosystem services such as tourism, biodiversity, aesthetic value and cultural value. On-going work in both Europe and Canada indicates significant improvements in our ability to value in monetary terms the numerous potential benefits and costs of acid deposition abatement. There are still large gaps in the understanding of the nature and value of acid deposition impacts. Despite the fact that some economic-evaluation modelling capacity currently exists, economic-evaluation models for acid deposition do not adequately account for environmental benefits resulting from abatement.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.004
GPT teacher head0.176
Teacher spread0.171 · 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 designObservational
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

Citations3
Published2013
Admission routes1
Has abstractyes

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