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Record W2321161103 · doi:10.1097/pec.0b013e318209f0b3

Tick-Borne Illnesses

2011· review· en· W2321161103 on OpenAlexaff
J. R. Graham, Katrina Stockley, Ran D. Goldman

Bibliographic record

VenuePediatric Emergency Care · 2011
Typereview
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicinePresentation (obstetrics)Incidence (geometry)Intensive care medicineDifferential diagnosisTickDiseaseTick-borne diseasePediatricsDiagnostic testPathologySurgeryVirology

Abstract

fetched live from OpenAlex

North American tick-borne illnesses are a group of important emerging diseases whose incidence has been increasing for the past decade. Emergency physicians may be the first contact for patients with symptoms of tick-borne illness, thus it is important that these diseases remain on a physicians' differential diagnosis when presented with an appropriate clinical presentation. This CME activity provides an overview of the most common tick-borne illnesses in North America and will help physicians evaluate their clinical presentation, order appropriate diagnostic tests, develop pediatric treatment recommendations, and prepare to include tick-borne illnesses in the differential diagnosis of pediatric patients presenting with multisystem disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.012

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 head0.295
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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

Citations20
Published2011
Admission routes1
Has abstractyes

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