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Record W4241352548 · doi:10.1002/9781119085751.ch24

Northern America

2017· other· en· W4241352548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfectious Diseases · 2017
Typeother
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsMcGill University
Fundersnot available
KeywordsEhrlichiaEncephalitisDengue feverRocky Mountain spotted feverChikungunyaAnaplasmaVirologyBiologyTickVirus

Abstract

fetched live from OpenAlex

Agents and illnesses specific to Northern America (or less commonly recognized in other world regions) include Babesia, Ehrlichia, Anaplasma, Lyme, Rocky Mountain spotted fever, and Coccidioides. Infectious agents in Northern America are typical of those identified in most developed countries, but some pathogens exist that are less commonly recognized in other world regions, including Babesia, Ehrlichia, Anaplasma, Lyme, Rocky Mountain spotted fever, Coccidioides, St.Louis encephalitis, eastern equine encephalitis, and western equine encephalitis. Additionally, several bacterial infections have increased prevalence in the community setting within North America and should be considered in patients presenting from this region with compatible clinical complaints. The incidence of Clostridium difficile infections is rising both in hospitalized patients and in the community, and must be considered in the differential diagnosis of diarrhea in Northern America. Dengue virus has typically been an imported disease in Northern America, acquired when travelers to warmer regions are bitten by the Aedes mosquito.

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.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.153
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0170.017

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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