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Record W3187537443 · doi:10.1007/s40121-021-00499-3

Meningococcal Disease Outbreaks: A Moving Target and a Case for Routine Preventative Vaccination

2021· review· en· W3187537443 on OpenAlexaboutno aff
Lamine Soumahoro, Véronique Abitbol, Nevena Vicic, Rafik Bekkat-Berkani, Marco Aurélio Palazzi Sáfadi

Bibliographic record

VenueInfectious Diseases and Therapy · 2021
Typereview
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
FundersGlaxoSmithKline Biologicals
KeywordsOutbreakMedicineVaccinationPopulationDiseaseEnvironmental healthPsychological interventionPaceReimbursementHealth careImmunologyVirologyGeographyEconomic growthNursing

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.107
metaresearch head score (Gemma)0.193
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.107
Threshold uncertainty score0.564

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1070.193
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0080.006
Science and technology studies0.0020.006
Scholarly communication0.0110.038
Open science0.0060.007
Research integrity0.0200.015
Insufficient payload (model declined to judge)0.0080.002

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 head0.025
GPT teacher head0.329
Teacher spread0.304 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations37
Published2021
Admission routes1
Has abstractyes

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