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Record W6999757297

Determination of cadmium and lead in water, sediment and bioindicator organisms in Estero Salado, Ecuador

2018· article· en· W6999757297 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsBioindicatorCadmiumMangroveSedimentPollutionWater pollutionAvicenniaBiomonitoring
DOInot available

Abstract

fetched live from OpenAlex

Evidence of pollution by heavy metals have been detected in the city of Guayaquil, province of Guayas, coastal Ecuador. The water and sediment in the mangrove environs of Puente Portete in Estero Salado were tested for concentrations of cadmium (Cd) and lead (Pb), as well as the following organisms: gastropods, including Littorina varia and Cerithidea mazatlanica, and the leaves of Rhizophora racemosa, Laguncularia racemosa, Avicennia germinans, and Conocarpus erectus. The samples were analyzed using flame atomic absorption spectrophotometry. The values of Cd and Pb in water and sediment exceeded the permissible limits established by Ecuadorian and Canadian standards. The gastropod species L. varia and C. mazatlanica were the best indicator organisms for detecting pollution by accumulating 2.45 ± 0.49 ppm Pb and 1.49 ± 0.67 ppm Cd, respectively. Because of the low bioavailability of heavy metals in sediments, mangrove plants did not accumulate Cd and Pb in leaves.

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)0.000
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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)→Same topicHeavy metals in environment→French-language works237,207→