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Record W2736257786 · doi:10.1080/23312009.2017.1354800

Determination of physicochemical parameters of “Hora” natural mineral water and soil in Senkele Kebele, Oromia Region, Ethiopia

2017· article· en· W2736257786 on OpenAlexaboutno aff
Tibebu Alemu, Eyobel Mulugeta, Miresa Tadese

Bibliographic record

VenueCogent Chemistry · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryMineralNatural mineralEnvironmental chemistryMineral waterMineralogyMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, the mean levels of anion and metals in “Hora” natural mineral water and soil were determined. Accordingly, the levels of N–NH3, Cl−, N–NO3−, SO42−, Mg, and Ca in water were not exceeding the World Health Organization (WHO) drinking water guideline values for humans and the levels of N–NO3−, SO42−, and Ca were also far below the Canadian Ministers of Health (CMH) guideline values for livestock. The levels of Al, Mn, Zn, Cu, Ni, Pb, and Mo were above the WHO guideline values, while majority of the trace metals were not exceeding the maximum permissible value for livestock except for Ni and Co. Among the trace metals found in the soil, Mn and Pb were found to be higher compared to the recommended value (40 mg/kg) by the Ethiopian guideline. The drinking water quality index (DWQI) was calculated to be 67.6 based on 21 important quality parameters.

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 score0.006
Threshold uncertainty score0.011

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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

Citations21
Published2017
Admission routes1
Has abstractyes

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