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Record W2980819023 · doi:10.1139/cjp-2018-0514

Average annual committed effective dose and threshold consumption rate of bovine samples collected from a government owned abattoir, Ikpoba slope, Benin City, Nigeria

2019· article· en· W2980819023 on OpenAlexvenueno aff
K.W. Giwa, Okhuomaruyi David Osahon

Bibliographic record

VenueCanadian Journal of Physics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsMean valueDose rateAnimal sciencePopulationToxicologyRadiological weaponEffective dose (radiation)Absorbed dose rateRadionuclideFood consumptionVeterinary medicineMedicineReference doseNuclear medicinePhysicsEnvironmental healthStatisticsBiologyAbsorbed doseAgricultural economicsDosimetrySurgeryMathematicsRisk assessment

Abstract

fetched live from OpenAlex

The activity concentrations of 40 K, 232 Th, and 238 U in five different organs of bovine meat commonly eaten by the Nigerian populace were measured using gamma ray spectrometry. The meat samples were collected from a Government owned abattoir at Ikpoba slope, Benin City. The essence of the study was to estimate the internal radiation dose incurred by a population due to the ingestion of radionuclides from meat consumption. The mean absorbed dose rate was 12.60 ± 1.51 nGy h −1 , which is far lower than the recommended value of 55 nGy h −1 . The AACED obtained in this study differs for each organ, thereby making the threshold consumption rate different, but the mean dose, 0.171 ± 0.07 mSv yr −1 , is below the 0.3 mSv yr −1 reported to be the recommended average value. The mean threshold consumption rate for meat intake for the samples under study was calculated to be 107.5 ± 6.22 kg yr –1 . Thus, this study has contributed to the body of knowledge and data that can lead to the formulation of regulations related to radiological healthcare in the study area.

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 score0.040
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.038
GPT teacher head0.300
Teacher spread0.262 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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