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Record W2911180220 · doi:10.1038/s41477-018-0316-5

The persistence of carbon in the African forest understory

2019· article· en· W2911180220 on OpenAlexaff
Wannes Hubau, Tom De Mil, Jan Van den Bulcke, Oliver L. Phillips, Bhély Angoboy Ilondea, Joris Van Acker, Martin J. P. Sullivan, Laurent Nsenga, Benjamin Toirambe, Camille Couralet, Lindsay F. Banin, Serge K. Begne, Timothy R. Baker, Nils Bourland, Éric Chézeaux, Connie J. Clark, Murray Collins, James A. Comiskey, Aida Cuní‐Sanchez, Victor Deklerck, Sofie Dierickx, Jean‐Louis Doucet, Corneille E. N. Ewango, Ted R. Feldpausch, Martin Gilpin, Christelle Gonmadje, Jefferson S. Hall, David J. Harris, Olivier J. Hardy, Marie-Noël Djuikouo Kamdem, Emmanuel Kasongo Yakusu, Gabriela López‐González, Jean‐Remy Makana, Yadvinder Malhi, Faustin M. Mbayu, Sam Moore, Jacques Mukinzi, Georgia Pickavance, John R. Poulsen, Jan Reitsma, Mélissa Rousseau, Bonaventure Sonké, Trey Sunderland, Hermann Taedoumg, Joey Talbot, John Tshibamba Mukendi, Peter M. Umunay, Jason Vleminckx, Lee White, Lise Zemagho, Simon L. Lewis, Hans Beeckman

Bibliographic record

VenueNature Plants · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsUniversity of British Columbia
FundersBijzonder Onderzoeksfonds UGentAgence Nationale Des Parcs NationauxUniversiteit GentEuropean CommissionSight Research UKNatural Environment Research CouncilAustralian GovernmentGordon and Betty Moore Foundation
KeywordsUnderstoryCarbon sinkCanopyCarbon sequestrationRainforestCarbon fibersCarbon cycleEcologyEnvironmental scienceForest dynamicsClimate changeGeographyBiologyEcosystemCarbon dioxideMathematics

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.189
Teacher spread0.182 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations64
Published2019
Admission routes1
Has abstractyes

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