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Record W2254975842 · doi:10.3329/jbas.v39i2.25956

Measurement of the Natural Radioactivity and Radiological Hazard of Soil, Sand and Sediment Samples Collected from Coastal Area, Coxs Bazar, Bangladesh

2015· article· en· W2254975842 on OpenAlexaff
Sariful, Suranjan Kumar Das, Md Murad Ahmed, Selina Yeasmin

Bibliographic record

VenueJournal of Bangladesh Academy of Sciences · 2015
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsNatural radioactivitySedimentSoil testAnimal scienceEffective dose (radiation)RadionuclideEnvironmental scienceEnvironmental chemistryChemistryNuclear medicineSoil waterSoil scienceGeologyMedicineBiologyPhysics

Abstract

fetched live from OpenAlex

The radioactivity concentrations of 24 samples of soil and sand sediments from Cox’s Bazar were determined using high purity germanium detector. The results of 226Ra, 232Th and 40K in the soil samples were found to vary from 15.34 ± 1.66 to 33.70 ± 2.08 Bq/kg, 30.09 ± 3.62 to 58.06 ± 4.23 Bq/kg and 379.99 ± 33.43 to 755.26 ± 38.03 Bq/kg, respectively. For sand samples the activity concentrations were between 8.98 ± 1.49 to 31.33 ± 2.04 Bq/kg, 16.82 ± 3.24 to 63.28 ± 4.37 Bq/kg and 252.42 ± 31.72 to 565.72 ± 35.78 Bq/kg, respectively, for sediment samples values were 13.90 ± 1.64 to 38.41 ± 2.19 Bq/kg, 37.94 ± 3.82 to 51.92 ± 4.11 Bq/kg and 367.70 ± 33.28 to 665.05 ± 36.97 Bq/kg, 367.70 ± 33.28 to 665.05 ± 36.97 Bq/kg, respectively. The absorbed dose rate of soil, sand and sediment samples were found as 79.98, 77.17, and 57.86 nGy/h, respectively. Outdoor annual effective doses were 0.49, 0.47 and 0.36 mSv/y.Journal of Bangladesh Academy of Sciences, Vol. 39, No. 2, 233-240, 2015

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)0.006
metaresearch head score (Gemma)0.001
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 score0.235
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.148
GPT teacher head0.357
Teacher spread0.209 · 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
Published2015
Admission routes1
Has abstractyes

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