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Record W1591844347 · doi:10.1002/9781444327397.ch7

Interaction of Climate Change and Acid Deposition

2010· other· en· W1591844347 on OpenAlexaff
Richard F. Wright, Julian Aherne, Kevin Bishop, Peter J. Dillon, Martin Erlandsson, Chris Evans, Martin Forsius, David W. Hardekopf, Rachel Helliwell, Jakub Hruška, Øyvind Kaste, Jiřı́ Kopáček, Pavel Krám, Hjalmar Laudon, Filip Moldan, Michela Rogora, Anne Merete S. Sjøeng, Heleen A. de Wit

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsTrent University
Fundersnot available
KeywordsClimate changeDeposition (geology)Environmental scienceDissolved organic carbonBiotaLeaching (pedology)Acid depositionNitrateGlobal warmingEnvironmental chemistryAcid rainHydrology (agriculture)EcologySoil scienceChemistryOceanographyGeologySoil waterSedimentGeomorphology

Abstract

fetched live from OpenAlex

This chapter contains sections titled: Introduction Effects of climate change on nitrate leaching Dissolved organic carbon (DOC) Saharan dust Effects of climate warming on soil chemical processes Modelling the combined effects of climate change and acid deposition Effects on aquatic biota Conclusions References

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)0.000
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 score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.001

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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

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