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Record W1970243310 · doi:10.5539/ep.v2n1p81

Selected Essential and Non-Essential Elements Content of Turkish Hazelnuts

2012· article· en· W1970243310 on OpenAlexvenueno aff
Emine Elmaslar Özbaş, Hatice Eser Ökten, H. Kurtuluş Özcan, Göksel Demir

Bibliographic record

VenueEnvironment and Pollution · 2012
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsnot available
Fundersnot available
KeywordsHeavy metalsPotassiumChemistryAnimal scienceEnvironmental chemistryMathematicsFood scienceBiology

Abstract

fetched live from OpenAlex

Besides being the largest hazelnut producer in the world, Turkey was also the foremost hazelnut exporting country. In this study, content of essential metals (Na, Mg, Ca, K, Fe) and toxic metals (Cu, Pb, Cd) in hazelnut samples from eastern and western parts of Black Sea Region in Turkey were analyzed, and the relationship among these metals were investigated. In addition, the estimated daily intake (EDI) of heavy metals was calculated. It was shown that the calculated EDI values for daily average consumption (20 g) were lower than the recommended values for Cu. Moreover, Cd and Pb were not detected in any of the samples. Potassium was observed to have the highest concentration with an average of 2348.37 mg·kg-1 among the investigated elements. In addition, Ca and Mg contents in hazelnut samples were also found to be rather high.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

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)0.0010.000

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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