MétaCan
Menu
Back to cohort
Record W2948928288 · doi:10.1097/ipc.0000000000000740

A Hail Mary Diagnostic Success

2019· article· en· W2948928288 on OpenAlexaffabout
Joe Dylewski, Marc-Christian Domingo, Karine Thivierge

Bibliographic record

VenueInfectious Diseases in Clinical Practice · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsSte. Anne's HospitalSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineIntensive care medicineEndocarditisVirologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract With the advent of newer methodologies, it has become possible to detect previously unsuspected pathogens. We wish to present a case of human granulocytic anaplasmosis that was diagnosed using 16S ribosomal RNA gene sequencing while originally investigating possible culture-negative endocarditis. This case is the first reported in humans from the province of Quebec. A brief review of means of transmission and clinical and laboratory findings as well as treatment is provided.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0670.034

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 head0.016
GPT teacher head0.349
Teacher spread0.332 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueInfectious Diseases in Clinical PracticeSame topicVector-borne infectious diseasesFrench-language works237,207