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Taking climate model evaluation to the next level

2019· article· en· 765 citations· W2905895468 on OpenAlex· 10.1038/s41558-018-0355-y

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.180
GPT teacher head0.341
Teacher spread
0.161 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
Nature Climate Change
Topic
Climate variability and models
Field
Environmental Science
Canadian institutions
Environment and Climate Change Canada
Funders
Global Change Institute, University of the Witwatersrand, JohannesburgEuropean CommissionAgence Nationale de la RechercheNational Aeronautics and Space AdministrationU.S. Department of EnergyNational Science Foundation
Keywords
WeightingClimate modelComputer scienceClimate changeProcess (computing)Earth system sciencePerspective (graphical)Independence (probability theory)Risk analysis (engineering)Operations researchManagement scienceEnvironmental resource managementEnvironmental scienceBusinessEconomicsEngineering
Has abstract in OpenAlex
no