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Record W2511113472 · doi:10.5539/jas.v8n10p33

The Content of Sulphur in the Soil and Plant from Park Areas Exposed to Traffic Pollution

2016· article· en· W2511113472 on OpenAlexvenueno aff
Hanna Jaworska, Anetta Siwik-Ziomek, Katarzyna Matuszczak

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsnot available
Fundersnot available
KeywordsSoil waterEnvironmental chemistryEnvironmental scienceSulfurSoil testPollutionChemistrySoil scienceEcology

Abstract

fetched live from OpenAlex

<p>Sulphur occurs in many environmental compounds. Source of this element may be natural as also anthropogenic origin, for example related with the development of road traffic. The aim of this study was to evaluate the impact of traffic on the content of total and sulphate sulphur in forest soils and plant material. The selected physicochemical properties of soils were determined: soil texture by laser diffraction method, soil pH by potentiometric method, total organic carbon (TOC) by Tiurin method. The content of total and sulphate sulphur in research material was determined by Bardsley-Lancaster method modified by COMN-IUNG. All analyses were performed in three replicates and the verification of the results was based on the certified material Till-3. Statistical analysis of the results were performed in Statistica 12.0 for Windows Pl software. Examined research material was characterized by medium, high and anthropogenic origin content of total and sulphate sulphur. Undertaken studies showed that the traffic could have an adverse influence on the content of sulphur in soils and plant material.</p>

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.068

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.197
Teacher spread0.180 · 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 designBench or experimental
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

Citations1
Published2016
Admission routes1
Has abstractyes

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