MétaCan
Menu
Back to cohort
Record W2567003511 · doi:10.5751/es-08922-210454

Incorporating resilience and cost in ecological restoration strategies at landscape scale

2016· article· en· W2567003511 on OpenAlexvenueno aff
Maurício Stefanes, José Manuel Ochoa-Quintero, Fábio de Oliveira Roque, Larissa Sayuri Moreira Sugai, Leandro Reverberi Tambosi, Reinaldo Lourival, Susan G. W. Laurance

Bibliographic record

VenueEcology and Society · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicLand Use and Ecosystem Services
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoUniversidade Federal de Mato Grosso do SulCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsResilience (materials science)Restoration ecologyEcologyScale (ratio)Environmental resource managementLandscape ecologyGeographyEcological resilienceEnvironmental scienceForestryEcosystemBiologyCartographyHabitat

Abstract

fetched live from OpenAlex

Stefanes, M., J. M. Ochoa Quintero, F. de Oliveira Roque, L. S. Moreira Sugai, L. Reverberi Tambosi, R. Lourival, and S. Laurance. 2016. Incorporating resilience and cost in ecological restoration strategies at landscape scale. Ecology and Society 21(4):54. https://doi.org/10.5751/ES-08922-210454

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 score0.016
Threshold uncertainty score0.886

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 head0.008
GPT teacher head0.217
Teacher spread0.210 · 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

Citations25
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueEcology and SocietySame topicLand Use and Ecosystem ServicesFrench-language works237,207