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Record W3175043176

Case 13 : Preparing for the Tickpocalypse

2020· article· en· W3175043176 on OpenAlexaboutno aff
Rayda Sheikh, Fatih Şekercioğlu, Mark Speechley

Bibliographic record

VenueScholarship@Western (Western University) · 2020
Typearticle
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

The blacklegged tick population is increasing within the Realike region, and this has been associated with the emergence and increase of Lyme disease cases in the area. Zachary Smith, the Manager of the Safe Water and Rabies Prevention & Control, and Vector-Borne Disease team at the Realike Health Unit’s Environmental Health Department, has been notified by Public Health Ontario of a potential Lyme disease outbreak in the area. Lyme disease is a vector-borne disease caused by bites from blacklegged ticks, also known as deer ticks, that are infected with Borrelia burgdorferi bacteria. The disease was once mostly endemic to the United States, Europe, and parts of Asia. However, due to the uncertainty and negative impacts induced by climate change, the Realike region is now an endemic Lyme disease risk area. As per Ontario’s Emergency Management and Civil Protection Act, all municipalities should be prepared for emergencies such as disease outbreaks and, therefore should develop an emergency management program (Government of Ontario, 1990b). Further, the latest amendment of the Ontario Public Health Standards includes the addition of emergency management as one of the four foundational standards (MOHLTC, 2018a). This mandates that public health programs and services delivered by Ontario public health units incorporate all four of these foundational standards. The province’s public health standards state that emergency management plays a critical role in public health programming as it enables boards of health to ensure that they possess the capacity to respond to emerging and re-emerging threats within the community. Compliance with the standards also ensures that health units maintain adaptability and are resilient during times of high stress and in the presence of disruption. Currently, Ontario does not have any guidelines or emergency management plans for Lyme disease. Zachary must consider all elements of the problem and apply a systems-thinking approach to develop an efficient emergency preparedness plan for Lyme disease. This plan will provide a safe and healthy environment for the residents of the Realike region by ensuring that they are aware of the increased level of Lyme disease within the region.

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)0.001
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0110.002

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 head0.117
GPT teacher head0.323
Teacher spread0.206 · 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
Published2020
Admission routes1
Has abstractyes

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