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Record W3174669476 · doi:10.14712/23361964.2021.4

Phytoremediation of soils polluted with heavy metals in the vicinity of the Zenica steel mill in Bosnia and Herzegovina: potential for using native flora

2021· article· en· W3174669476 on OpenAlexfundno aff
Senad Murtić, Hamdija Čivić, Emina Sijahović, Ćerima Zahirović Sinanović, Emir Šahinović, Adnana Podrug

Bibliographic record

VenueEUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCES · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersNational Outstanding Youth Science Fund Project of National Natural Science Foundation of ChinaRio Tinto
KeywordsPhytoremediationBioaccumulationHeavy metalsEnvironmental chemistrySoil waterEnvironmental scienceAtomic absorption spectroscopyPollutionNative plantMetalSoil contaminationPhytoextraction processHyperaccumulatorChemistryMetallurgyBotanyMaterials scienceEcologySoil scienceBiologyIntroduced species

Abstract

fetched live from OpenAlex

This study investigates levels of soil pollution and estimates the phytoremediation potential of 7 native plants growing close to the Zenica steel mill. Plant leaves or roots and associated soil samples were collected from this site and characterized in terms of the concentrations of the heavy metals Cr, Cd, Pb, Zn, Cu and Ni. Heavy metal concentrations in soil and plant samples were determined using atomic absorption spectrophotometry. Bioaccumulation factors for heavy metals were also calculated. All plants studied had a low ability to remove or stabilize heavy metals in soil. This was probably associated with the poor mobility and thus poor availability of heavy metals to the plants growing in the vicinity of this steel mill.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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 teacher head, 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

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueEUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCESSame topicHeavy metals in environmentFrench-language works237,207