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Consecuencias de la disminución de la flora endémica del Mundo, Ecuador y la Amazonia

2018· article· es· W2999640254 on OpenAlexvenueno aff
Efraín Velasteguí López

Bibliographic record

VenueConcienciaDigital · 2018
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyFlora (microbiology)Amazon rainforestForestryArtBiologyEcology

Abstract

fetched live from OpenAlex

La flora endémica es aquella que solamente vive en un determinado lugar, es decir cuyo radio de distribución se delimita a un lugar, región o continente, el término endémico puede confundirse con nativo, sin embargo, la diferencia es que una planta nativa puede nacer en diversos lugares del mundo y una endémica nace en un solo lugar. Son especies vegetales que pueblan un territorio o una región geográfica, consideradas desde el punto de vista sistemático. La flora será rica o pobre según que la región geográfica considerada posea muchas especies vegetales o escaso número de ellas. El conjunto de flora es de muy variable amplitud, según el punto de vista desde el que se considere. Ecuador tiene un 10 por ciento de todas las especies de plantas que hay en el planeta. De este porcentaje, la mayor cantidad crece en la cordillera de los Andes, en la zona noroccidental, donde se calcula que hay aproximadamente 10 mil especies. En la región amazónica existe también un alto número de especies vegetales, alrededor de 8.200, por ejemplo, solo de orquídeas se han identificado 2.725 especies. En Galápagos, en cambio, hay cerca de 600 especies nativas y otras 250 introducidas por el hombre, aproximadamente. De las doce zonas claves de biodiversidad identificadas por el naturalista Norman Myers, tres se encuentran en el Ecuador continental. La diversidad climática ha dado lugar a más de 25 mil especies de árboles.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.247
Teacher spread0.235 · 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 designNot applicable
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

Citations2
Published2018
Admission routes1
Has abstractyes

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