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Record W4386344138 · doi:10.14720/abs.60.1.15667

Invertebrates as a study model of anaerobic infections

2017· article· en· W4386344138 on OpenAlexfundno aff
Mateja Rakuša, Lidija Kocbek

Bibliographic record

VenueActa Biologica Slovenica · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
FundersMinistrstvo za visoko šolstvo, znanost in tehnologijoJavna Agencija za Raziskovalno Dejavnost RSUniverza v LjubljaniMcGill University
KeywordsInvertebrateBiologyVirulenceHost (biology)Anaerobic exerciseMarine invertebratesEcologyAnaerobic bacteriaInfectious disease (medical specialty)PathogenMicrobiologyBacteriaDiseaseMedicineGeneticsPhysiologyGene

Abstract

fetched live from OpenAlex

Experiments with invertebrates have recently gained increased attention as a practicable substitute to traditional mammalian models in the study of host-bacterial interactions. Using an invertebrate study model has a number of advantages overtraditional mammalian model including simple growth condition, short life-time, can be easily maintained, infected without anesthesia and with a smaller extent of ethical limitations. From a microbiological viewpoint, importance of anaerobic bacteria asagents for various diseases remains an interesting field for research. The study of the interaction between invertebrate model host and anaerobic bacteria therefore provides insights into the mechanisms underlying pathogen virulence and host immunity andcomplements or even compensates the use of mammalian model in assay for infectious disease. This review offers to consider about the appropriate invertebrate model select for the study of particular aspects of anaerobic bacterial pathogenesis.

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 score0.607
Threshold uncertainty score0.684

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.029
GPT teacher head0.277
Teacher spread0.248 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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