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Record W2166079210 · doi:10.1111/gcb.12712

<scp>CTFS</scp>‐Forest<scp>GEO</scp>: a worldwide network monitoring forests in an era of global change

2014· review· en· W2166079210 on OpenAlexaff
Kristina J. Anderson‐Teixeira, Stuart J. Davies, Amy C. Bennett, Erika Gonzalez‐Akre, Helene C. Muller‐Landau, S. Joseph Wright‬, Kamariah Abu Salim, Angélica M. Almeyda Zambrano, Alfonso Alonso, Jennifer L. Baltzer, Yves Basset, Norman A. Bourg, Eben N. Broadbent, Warren Y. Brockelman, Sarayudh Bunyavejchewin, David F. R. P. Burslem, Nathalie Butt, Min Cao, Dairón Cárdenas, George B. Chuyong, Keith Clay, Susan Cordell, H. S. Dattaraja, Xiaobao Deng, Matteo Detto, Xiaojun Du, Álvaro Duque, David L. Erikson, Corneille E. N. Ewango, Gunter A. Fischer, Christine Fletcher, Robin B. Foster, Christian P. Giardina, Gregory S. Gilbert, I. A. U. N. Gunatilleke, Savitri Gunatilleke, Zhanqing Hao, William W. Hargrove, Térese B. Hart, Billy C. H. Hau, Fangliang He, Forrest M. Hoffman, Robert W. Howe, Stephen P. Hubbell, Faith Inman‐Narahari, Patrick A. Jansen, Mingxi Jiang, Daniel J. Johnson, Mamoru Kanzaki, Abdul Rahman Kassim, David Kenfack, Staline Kibet, Margaret F. Kinnaird, Lisa Korte, Kamil Král, Jitendra Kumar, Andrew J. Larson, Yide Li, Xiankun Li, Shirong Liu, Shawn K. Y. Lum, James A. Lutz, Keping Ma, Damian M. Maddalena, Jean‐Remy Makana, Yadvinder Malhi, Toby R. Marthews, Rafizah Mat Serudin, Sean M. McMahon, William J. McShea, Hervé Memiaghe, Xiangcheng Mi, Takashi Mizuno, Michael D. Morecroft, Jonathan A. Myers, Vojtêch Novotný, Alexandre A. Oliveira, Perry S. Ong, David A. Orwig, Rebecca Ostertag, J. den Ouden, Geoffrey G. Parker, Richard P. Phillips, Lawren Sack, Moses N. Sainge, Weiguo Sang, Kriangsak Sri‐ngernyuang, Raman Sukumar, I‐Fang Sun, Witchaphart Sungpalee, H. S. Suresh, Sylvester Tan, Sean C. Thomas, Duncan W. Thomas, Jill Thompson, Benjamin L. Turner, María Uriarte, Renato Valencia, Marta I. Vallejo, Alberto Vicentini, Tomáš Vrška, Xihua Wang, Xugao Wang, George D. Weiblen, Amy Wolf, Han Xu, Sandra Yap, Jess K. Zimmerman

Bibliographic record

VenueGlobal Change Biology · 2014
Typereview
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsUniversity of TorontoUniversity of AlbertaWilfrid Laurier University
FundersNatural Environment Research CouncilRockefeller FoundationAndrew W. Mellon FoundationJohn D. and Catherine T. MacArthur FoundationSight Research UKSmithsonian InstitutionJohn Merck FundNational Science Foundation
KeywordsClimate changeBiomeGlobal changeBiodiversityEnvironmental scienceGlobal warmingForest ecologyEcosystemGeographyForest dynamicsEcologyEcosystem servicesEnvironmental resource managementBiology

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0430.019

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 head0.057
GPT teacher head0.335
Teacher spread0.279 · 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 designObservational
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

Citations584
Published2014
Admission routes1
Has abstractyes

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