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Record W4386127640 · doi:10.11159/icepr23.140

Assessment Of Heavy Metals For Sediments And Water In The Bouregreg Estuary

2023· article· en· W4386127640 on OpenAlexvenueno aff
Samar Aarabi, Oussama Chauiyakh, Elmostafa El Fahime, Kamal Kettani, Aziz Ettahir

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsEstuaryHeavy metalsEnvironmental scienceGeologyOceanographyHydrology (agriculture)Environmental chemistryGeotechnical engineeringChemistry

Abstract

fetched live from OpenAlex

The Bouregreg estuary represents an ecosystem which has a very important ecological and biological interest because of its fauna and flora variety which has experienced many complex releases of various origins.In the context of ecological conservation, such as the closure of the Oulja landfill (Salé city side) and the pre-treatment of wastewater (Rabat city side).This study based on the determination of ecological quality by obtaining a preliminary level assessment and distribution of six heavy metals (Fe, Zn, Cu, Cr, Pb and Cd) were measured in water and sediment to understand the level of heavy metals and their distribution at source.The samples were taken at 5 stations in the Bouregreg estuary in the Rabat/Salé region and were collected in August 2022.

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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.285
Teacher spread0.264 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on New Technologies→Same topicHeavy metals in environment→French-language works237,207→