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Record W2778168673

Gastro-intestinale klachten bij meningokokkeninfectie

2017· article· nl· W2778168673 on OpenAlexaff
Herman F. Wunderink, I. N. Vlasveld, M. J. Knol, Arie van der Ende, E. H. R. van Essen, Ed J. Kuijper

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2017
Typearticle
Languagenl
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineChillsVomitingPneumoniaSore throatNauseaPediatricsMeningitisMeningococcal diseaseSepsisPrednisoneSurgeryInternal medicineNeisseria meningitidis
DOInot available

Abstract

fetched live from OpenAlex

Meningococcal disease usually presents as meningitis and/or septicaemia, but can also present as pneumonia or arthritis. Since 2000, a worldwide increase in meningococcal disease is reported which is caused by a new virulent clone of serogroup W (MenW:cc11). This subtype is more likely to give an atypical clinical presentation and results in high mortality rates. A 68-year-old woman with polymyalgia rheumatica, managed with prednisone, developed an acute gastrointestinal syndrome of nausea, diarrhoea, vomiting, fever and chills. She presented at the Emergency Department and was admitted to intensive care for septic shock. Blood cultures revealed MenW:cc11 infection. She received antibiotic treatment and left the hospital in good condition 8 days after admission. MenW:cc11 is associated with gastrointestinal symptoms and sepsis. Recognition of this atypical clinical presentation is important for a timely and adequate treatment and for antibiotic prophylaxis of family members and close contacts

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)0.001
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0310.012

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 head0.028
GPT teacher head0.275
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

Citations0
Published2017
Admission routes1
Has abstractyes

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