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Record W2095320836 · doi:10.1504/ier.2010.037903

ANEMI: a new model for integrated assessment of global change

2010· article· en· W2095320836 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInterdisciplinary Environmental Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsWestern UniversityUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsClimate changeGeneral Circulation ModelPopulationBiosphereEnvironmental scienceSet (abstract data type)Climate modelComputer scienceMedicineEcologyOceanographyGeologyEnvironmental healthBiology

Abstract

fetched live from OpenAlex

This paper describes a new model, ANEMI, for the integrated assessment of climate and global change. ANEMI reproduces the main characteristics of eight sectors of the society-biosphere-climate system – climate, carbon cycle, land use, population, surface water flow, water use, water quality, and the economy – and explores the manner in which interactions, or feedbacks, between these components determine the behaviour of the whole. The model's reference behaviour forms the basis of comparison for the set of experiments undertaken to date with the model; these experiments and their goals are summarised. A sample Monte Carlo simulation illustrates typical model behaviour, and shows how change in one model variable affects the others. Conclusions reiterate the value of integrated assessment modelling and describe future additions to the model.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.112
GPT teacher head0.350
Teacher spread0.238 · 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