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Record W1895031561

Análisis dimensional de la cobertura vegetal-uso de suelo en la Cuenca del Río Magdalena

2009· article· es· W1895031561 on OpenAlexaboutno aff
José Mauricio Galeana Pizaña, Nirani Corona Romero, José Antonio Benjamín Ordóñez Díaz

Bibliographic record

VenueRevista mexicana de ciencias forestales · 2009
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyForestryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

RESUMEN El Distrito Federal alberga a una de las ciudades con mayor densidad depoblacion en el mundo; sin embargo, 58% de su territorio es considerado como suelo de conservacion. El presente estudio se desarrollo en la canada de laMagdalena Contreras al sur de la entidad, donde se realizo un analisis de la dimensionespacial por tipo de cobertura vegetal y uso del suelo; mediante el cruce deinformacion geografica se genero una matriz de las variables ambientales, quepermitio hacer un analisis preciso de los componentes principales, al conocer la superficie y ubicacion de cada una de las coberturas vegetales en funcion de la temperatura, precipitacion, altitud, edafologia y orientacion respecto al sol. Se identificaron 20 clases, con una dominancia de Abies religiosa , que cubre 0%, del cual, % corresponde a bosque cerrado y 6% a bosque abierto. La segundacobertura mas frecuente es la de Pinus hartwegii con 20%, que comprende 10.8% de su territorio con dosel abierto y 9.68% cerrado. La tercera categoria es elecotono de bosque de

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 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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.246
Teacher spread0.236 · 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
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

Citations3
Published2009
Admission routes1
Has abstractyes

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