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Record W2008206615 · doi:10.1007/s00382-005-0081-9

Past and future polar amplification of climate change: climate model intercomparisons and ice-core constraints

2005· article· en· W2008206615 on OpenAlexaff
Valérie Masson‐Delmotte, Masa Kageyama, P. Braconnot, Sylvie Charbit, Gerhard Krinner, Catherine Ritz, Éric Guilyardi, J. Jouzel, Ayako Abe‐Ouchi, Michel Crucifix, Rupert Gladstone, Chris Hewitt, Akio Kitoh, Allegra N. LeGrande, Olivier Marti, Ute Merkel, Tatsuo Motoi, Rumi Ohgaito, B. Otto-Bliesner, W. R. Peltier, Ian Ross, Paul J. Valdes, Guido Vettoretti, S. L. Weber, F. Wolk, Yongqiang Yu

Bibliographic record

VenueClimate Dynamics · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Toronto
FundersOffice of ScienceCentre National de la Recherche ScientifiqueLawrence Livermore National LaboratoryU.S. Department of Energy
KeywordsClimatologyInterglacialClimate changeEnvironmental scienceClimate modelIce coreIce sheetGlacial periodLast Glacial MaximumOrbital forcingAtmospheric sciencesGreenland ice sheetClimate stateAbrupt climate changeForcing (mathematics)PolarGlobal warmingGeologyEffects of global warmingOceanographyPhysics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

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.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0010.001
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 head0.032
GPT teacher head0.275
Teacher spread0.244 · 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 designSimulation or modeling
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

Citations291
Published2005
Admission routes1
Has abstractno

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