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Influencia de factores ambientales y antrópicos en la población de ostión Crassostrea virginica (Bivalvia: Ostreidae), en río Cauto, Cuba

2020· article· es· W3007090208 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 Mexicana de Biodiversidad · 2020
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicSoil Science and Environmental Management
Canadian institutionsCanadian Bank Note Company (Canada)
Fundersnot available
KeywordsGeographyBiology

Abstract

fetched live from OpenAlex

En Cuba, el ostión de fondo (OF) Crassostrea virginica (Gmelin, 1791) aportó durante 2008-2013 más de 30% a la captura nacional de ostiones del género Crassostrea. De una biomasa inicial no explotada (≥ 1,500 t), la población delrío Cauto se redujo a 277 t en 2014. El objetivo del presente estudio fue determinar los principales factores naturales y antrópicos que han afectado la calidad del hábitat y disminuido la población de C. virginica en el río Cauto. Seobtuvieron datos hidrológicos y biológicos poblacionales antes y después de un derrame accidental de aguas residuales de una industria azucarera de la región, que aunada a precipitaciones abundantes y aportes terrígenos fluviales, afectódrásticamente la calidad del agua registrándose valores de turbidez (> 8 FTU), oxígeno disuelto (< 3 mgO2 L-1), demanda química de oxígeno (DQO, > 11 mgO2 L-1) y salinidad (< 10 UPS), que redujeron la sobrevivencia (< 40%)y la abundancia del OF (< 30 ostiones/m2). Se identificaron factores naturales y antrópicos que afectan al hábitat y a la población ostrícola. Se proponen valores de referencia indicadores de buena calidad fisicoquímica del agua ensitios donde existan bancos naturales de C. virginica o se pretenda realizar su cultivo.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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