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Record W4313145250 · doi:10.22374/cjgim.v16i3.510

<i>Pasteurella multocida</i> Intramuscular Chest Abscess in a Healthy Man

2021· article· en· W4313145250 on OpenAlexaffvenue
Alina Beliavsky, Sigmund Krajden, Anita Chae, Barbara Newton, Greg Sue-A-Quan

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsSt Joseph's Health CentreUniversity of Toronto
Fundersnot available
KeywordsPasteurella multocidaMedicineImmunosuppressionInternal medicineBacteriaBiology

Abstract

fetched live from OpenAlex

Pasteurella multocida ( P. multocida) is the most commonly isolated pathogen in human cat bite wounds. We describe the case of a healthy 56-year-old man who presented with constitutional symptoms and a swollen right arm. He was found to have multi-focal abscesses secondary to P. multocida, with the portal of entry likely being a small wound on his right hand. P. multocida is thought to cause disease in humans either through direct inoculation or colonization of the human nasopharynx and subsequent reactivation during an immunocompromised state. Our case describes a rare presentation of invasive P. multocida infection in an immunocompetent host, occurring through either hematogenous or lymphatic spread.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.265
Teacher spread0.249 · 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 designCase report
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
Published2021
Admission routes2
Has abstractyes

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