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Record W2126547155 · doi:10.1016/j.ebiom.2015.02.001

Will Genome Analysis Elucidate Evolution, Global Transmission and Virulence of Neisseria Meningitidis Lineages?

2015· article· en· W2126547155 on OpenAlexaboutno aff
Daniel Golparian, Magnus Unemo

Bibliographic record

VenueEBioMedicine · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
Fundersnot available
KeywordsNeisseria meningitidisVirulenceGenomeBiologyTransmission (telecommunications)GeneticsNeisseriaGenome evolutionVirologyComputational biologyMicrobiologyGeneBacteriaComputer science

Abstract

fetched live from OpenAlex

Neisseria meningitidis is a frequent commensal resident of the oropharyngeal mucosa, carried by at least 10% of the human population in industrialized countries. However, N. meningitidis might penetrate the mucosal membranes and cause life-threatening septicemia and meningitis, commonly with a short time from onset to death. Despite appropriate treatment, the case-fatality rate for invasive meningococcal disease (IMD) remains around 10% (Goldacre et al., 2003). The bacterium uses different strategies to evade the immune system and survive in different environments, nevertheless, the only truly well-established virulence factor is the polysaccharide capsule.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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 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

Citations3
Published2015
Admission routes1
Has abstractyes

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