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Record W2953669182 · doi:10.1139/cjp-2018-0467

Investigation of some radiation interaction parameters for bacteria isolated from the soil in the low energy region

2019· article· en· W2953669182 on OpenAlexvenueno aff
F. Akman, Barış Enez, Sema Agüloğlu Fincan, Fatih Akdemir, İbrahim Halil Geçibesler

Bibliographic record

VenueCanadian Journal of Physics · 2019
Typearticle
Languageen
FieldMaterials Science
TopicRadiation Shielding Materials Analysis
Canadian institutionsnot available
FundersBingöl Üniversitesi
KeywordsBacillus subtilisBacteriaPhysicsBacillus megateriumAnalytical Chemistry (journal)Bacillus (shape)RadiationRange (aeronautics)AttenuationAtomic physicsOpticsChemistryMicrobiologyBiologyMaterials scienceChromatography

Abstract

fetched live from OpenAlex

The purpose of this work, investigation of radiation attenuation characteristics, such as mass attenuation coefficient (μ/ρ), molar extinction coefficient (ε), effective atomic number (Z eff ), and electron density (N E ), of isolated bacteria from soil samples taken from Diyarbakır in Turkey. The experiments were performed using a narrow beam geometry with the help of the a high-resolution Si(Li) detector and three different radioactive sources at 15 different photon energies. The ε, Z eff , and N E values for some bacteria isolated from soil, such as Bacillus megaterium, Bacillus simplex, Bacillus subtilis, and commercially purchased Geobacillus stearothermophilus bacterium, were obtained from the measured μ/ρ results in the energy range from 13.94 to 88.04 keV. The experimental values were checked with two different theoretical results and good agreement was observed among them. The results show that Bacillus simplex bacterium has the highest values of μ/ρ and Z eff and Bacillus subtilis bacterium has the biggest values of ε and N E among the present bacteria.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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 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

Citations2
Published2019
Admission routes1
Has abstractyes

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