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Record W2326564449 · doi:10.20286/nova-jmbs-040239

Ecological problem of Azerbaijan sector of the Caspian Sea

2015· article· en· W2326564449 on OpenAlexvenueno aff
SAMIRA SALAHOVA, Sh. A. Topchiyeva

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2015
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyEcologyBusinessEnvironmental resource managementEnvironmental protectionEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The article presented the results of analyzes of heavy metals in the water, which has taken from the area of oil and gas fields (Oil Rocks, Gyarbi Absheron, Absheron Bankasi and Bulla) of the Azerbaijan sector of the Caspian Sea seasonally from 2011 to 2013. Identify the exceeding average level of permissible concentration for iron, zinc, copper; their values corresponded to Fe (0,163-0,197 mg/L) at the MPC 0.05 mg/L, Zn (0,141-0,171 mg/L) at the MPC 0.01-0.05 mg/L Cu (0,002-0,008 mg/L) at the MPC 0,001 mg/L. The highest concentrations of heavy and transition metals occur in iron and zinc in the water. Thus, the maximum concentration value for iron and zinc are shown on the oil-gas field Bulla and they are follows: 0,197 mg/L and 0,171 mg/L. In each of the investigated samples were found zinc, copper, cadmium, mercury, lead, iron and nickel.

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 score0.242
Threshold uncertainty score0.328

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 studies0.0000.001
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 head0.130
GPT teacher head0.320
Teacher spread0.190 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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