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Record W2122449569 · doi:10.5194/gmd-6-2121-2013

The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design

2013· article· en· W2122449569 on OpenAlexaff
D. N. Huntzinger, Christopher R. Schwalm, A. M. Michalak, Kevin Schaefer, A. W. King, Yaxing Wei, A. R. Jacobson, S. Liu, Robert B. Cook, W. M. Post, G. Berthier, Daniel J. Hayes, Maoyi Huang, Akihiko Ito, Huimin Lei, Chaoqun Lü, Jiafu Mao, Changhui Peng, Shushi Peng, Benjamin Poulter, D. Riccuito, Xiaoying Shi, Hanqin Tian, W. Wang, Ning Zeng, Fang Zhao, Qing Zhu

Bibliographic record

VenueGeoscientific model development · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversité du Québec à Montréal
FundersOak Ridge National LaboratoryUniversity of MontanaNational Aeronautics and Space Administration
KeywordsBiosphereCarbon cycleEnvironmental scienceCoupled model intercomparison projectScale (ratio)Carbon fibersClimatologyComputer scienceClimate modelAtmospheric sciencesClimate changeEcologyEcosystemPhysicsGeologyAlgorithm

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)0.041
metaresearch head score (Gemma)0.043
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: Methods · Consensus signal: Methods
Teacher disagreement score0.041
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.043
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0040.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.040
GPT teacher head0.252
Teacher spread0.211 · 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
GenreMethods

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

Citations279
Published2013
Admission routes1
Has abstractyes

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