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Record W2594627385 · doi:10.5539/jmbr.v7n1p34

Determination of Isolated Salmonella Bacteria from Infected Animal Husbandry of Malayer City with using Molecular Methods

2017· article· en· W2594627385 on OpenAlexvenueno aff
Alireza Khakzad, Fatemeh Keshavarzi

Bibliographic record

VenueJournal of Molecular Biology Research · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsSalmonellaBiologySalmonella entericaMicrobiologySalmonella enteritidisBacteriaGenotypeGeneticsGene

Abstract

fetched live from OpenAlex

Salmonella species are gram negative bacteria and members of Enterobacteriaceae family. It has a rod-shaped appearance; it is catalase positive, oxidase negative, non-spore. Salmonella classified into two species, Salmonella Enterica and Salmonella Bangori. Salmonella is now one of the main reasons of diarrhea and vomiting in humans in many countries and especially in industrialized. In a study in Japan 164 Salmonella digestions were collected during 2006 to 2008 which 81 digestions were Salmonella Infantis. Salmonella-specific characteristics are studied in the two phenotype and genotype methods. In this research, with using genotype methods based on PCR, genetic diversity was evaluated; this PCR includes rep-PCR based on repetitive sequence elements (method was done by the use of three primers ERIC, REP and BOX). Studied showed most isolated strains were relevant to Salmonella Enteritidis and dendorogram study showed that the bacteria were grouped in one cluster in dendrogram that all 37 strains were put in a large cluster of Salmonella’s type which is divided into two clusters: Salmonella Enterica and Bongori. The results also in this experiment reflect the efficiency of rep-PCR method by using three ERIC, REP and BOX primers.

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.122
GPT teacher head0.442
Teacher spread0.320 · 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
Published2017
Admission routes1
Has abstractyes

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