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Record W1579457761 · doi:10.5539/ijc.v7n1p140

Total and Bioavailable Pb Content in Urban Paddy Rice Soils in Niger State, Nigeria

2015· article· en· W1579457761 on OpenAlexvenueno aff
Yahaya Ahmed Iyaka, Abubakar Umar

Bibliographic record

VenueInternational Journal of Chemistry · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAqua regiaSoil waterBioavailabilityAtomic absorption spectroscopyExtraction (chemistry)Environmental chemistryContaminationSoil testSoil contaminationEnvironmental scienceSoil scienceChromatography

Abstract

fetched live from OpenAlex

The total and plant available Pb content of forty composite soil samples from eight cultivated rice paddy soils from Niger State were investigated using Atomic Absorption Spectrophotometric technique, after their digestion with aqua regia and extraction with EDTA respectively. Varying Pb contents were obtained; the overall total Pb mean value was 12.6 ± 13.1 mg/kg, while the plant available Pb had mean concentration of 5.0 ± 3.1 mg/kg. Although the studied soil samples in this research were not polluted, they indicated a considerable Pb contamination that could serve as baseline data for lead level in paddy soils in Niger State. Hence, the need for constant monitoring of paddy soils to safe guide the possible risks that could arise due to bio - accumulation of Pb above the safety level and its consequence transfer through the food chain.

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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.245
Teacher spread0.224 · 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
Published2015
Admission routes1
Has abstractyes

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