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Record W2244944727 · doi:10.1002/wcc.379

Toward integrated historical climate research: the example of Atmospheric Circulation Reconstructions over the Earth

2016· article· en· W2244944727 on OpenAlexaff
Rob Allan, Georgina H. Endfield, Vinita Damodaran, George Adamson, Matthew Hannaford, Fiona Carroll, Neil Macdonald, Nick Groom, Julie Jones, Fiona Williamson, Erica Hendy, Paul Holper, J. Pablo Arroyo‐Mora, Lorna Hughes, Robert Bickers, Ana‐Maria Bliuc

Bibliographic record

VenueWiley Interdisciplinary Reviews Climate Change · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsMcGill University
FundersEuropean CommissionDepartment for Environment, Food and Rural Affairs, UK GovernmentArts and Humanities Research CouncilSeventh Framework ProgrammeMet OfficeDepartment of Energy and Climate Change
KeywordsClimate changeMultidisciplinary approachScrutinyGeographyScholarshipEarth system scienceThe artsEnvironmental resource managementPolitical scienceEnvironmental ethicsSocial scienceSociologyEcologyEnvironmental science

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.011
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0020.008
Scholarly communication0.0070.013
Open science0.0010.006
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.220
GPT teacher head0.344
Teacher spread0.123 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations79
Published2016
Admission routes1
Has abstractyes

Explore more

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