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Record W2735422593 · doi:10.2495/air170251

METAL CONCENTRATION STUDY IN A POPULATION LIVING IN THE VICINITY OF AN OIL REFINERY

2017· article· en· W2735422593 on OpenAlexaboutno aff
Ante Cvitković, Krunoslav Capak, Jasna Jurasović, Andreja Barišin, IGOR IVIĆ-HOFMAN, Vedran Poljak, Marijana Valjetić

Bibliographic record

VenueWIT transactions on ecology and the environment · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsRefineryPopulationEnvironmental scienceEnvironmental engineeringEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

The aim is to evaluate the exposure of Slavonski Brod citizens to metals from the environment: lead, cadmium, mercury, arsenic, nickel, manganese and thallium. Concentrations of Pb, Cd, Hg, As, Ni, Mn and Tl were analyzed in the whole blood and/or serum, urine and hair of 40 examinees from Slavonski Brod. According to "wind rose" data and the vicinity of the oil refinery, examinees were divided in two groups: Group I with 20 examinees (17 females/3 males) and Group II with 20 examinees (13 females/7 males). Metals were analyzed using inductively coupled plasma mass spectrometry. Analysis accuracy was confirmed with reference samples. The difference between the groups was tested using the Mann-Whitney U test. Reference values were taken from German commission for biomonitoring, biomonitoring studies with Canadian examinees, Mayo Medical Laboratories reference values, USA and London Pathology, and Laboratory Medicine from Canada. There was no difference in age between the groups (Group I: x = 48.2; SD 15.2; Group II: x = 50.7; SD 21.7; z = -0.590; p = 0.555). Statistically significant differences were determined in As in blood (Group I: M = 2.10; Group II: M = 3.20; z = -3.414; p = 0.0006), in Tl in blood (Group I: M = 0.012; Group II: M = 0.021; z = -2.37; p = 0.018), in Pb in urine (Group I: M = 0.71; Group II: M = 1.20; z = -2.12; p = 0.034) and in Mn in urine (Group I: M = 0.19; Group II: M = 0.11; z = 2.04; p = 0.042).

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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