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Record W3024552648 · doi:10.52964/amja.0671

Disseminated intravascular coagulation in an under-recognised zoonotic infection

2017· article· en· W3024552648 on OpenAlexaff
Sarah Lawrence, Andrew Claxton, Mark Holland, Jack Hodd

Bibliographic record

VenueAcute Medicine Journal · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsDisseminated intravascular coagulationMedicineSepsisPurpura fulminansIntensive care medicineThrombotic thrombocytopenic purpuraRenal replacement therapyInternal medicinePlateletSurgery

Abstract

fetched live from OpenAlex

A 51 year old man presented with severe sepsis, disseminated intravascular coagulation (DIC) and multiorgan dysfunction after a 24 hour history of diarrhoea and malaise. Despite fluid resuscitation and receiving a platelet transfusion, freshfrozen plasma and intravenous broad-spectrum antibiotics, he remained anuric with a worsening metabolic acidosis. He was transferred to critical care for organ support including renal replacement therapy. He subsequently developed purpura fulminans. Blood cultures were positive for Captocytophaga carnimorsis, a gram-negative canine zoonosis that is an underdiagnosed cause of severe sepsis, for which DIC at presentation is characteristic. Treatment is with penicillins and fluoroquinolones. Identification of risk factors for unusual organisms and recognition of DIC allowing prompt treatment is critical for the acute physician.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.332
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 teacher head, not a consensus.

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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