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Record W2093175211 · doi:10.15381/rpb.v15i1.1670

Análisis de la composición florística de los bosques de Jenaro Herrera, Loreto, Perú

2008· article· es· W2093175211 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Peruana de Biología · 2008
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsHumanitiesGeographyFlorForestryArtArchaeology

Abstract

fetched live from OpenAlex

La composición florística de 17 parcelas (0,5 - 2 ha) de Jenaro Herrera, Loreto, Perú fue analizada utilizando el método multivariado de agrupamiento por promedio aritmético de grupos de pares no ponderados (UPGMA). Nueve grupos florísticos fueron reportados y correspondieron a los siguientes tipos de bosque descritos anteriormente en la zona: 1) bosque ribereño, un grupo; 2) bosque latifoliado de aguas negras, dos grupos; 3) bosque de arena blanca, dos grupos(más un grupo con parcela que incluye parte de otro tipo de bosque); 4) bosque de terraza, un grupo; 5) bosque de palmeras de aguas negras, un grupo; y 6) bosque de palmeras de terraza baja, un grupo. Problemas taxonómicos en el nivel de especies fueron minimizados con la remoción de las especies raras.

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.

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)0.002
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 score0.177
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.268
Teacher spread0.247 · 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