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Record W2605416076 · doi:10.1017/s1049023x0003154x

Unusual Communicable Diseases: Systematic Approach to Management

2000· article· en· W2605416076 on OpenAlexaff
Jin Ji, Mark Bigham, Elizabeth Bryce, William Bowie, Patricia Daly, Martena Grace, Bruce Gamage, Muhammad Morshed, D. Roscoe

Bibliographic record

VenuePrehospital and Disaster Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsAction (physics)Computer scienceRisk analysis (engineering)Process managementMedicineBusiness

Abstract

fetched live from OpenAlex

Public Health plays a pivotal role during disaster.The spread of communicable diseases arising from contaminated water or foodstuffs must be limited, and if possible, prevented.In the event of a release ionizing radiation, although primarily a geographically restricted event, there is critical need to limit exposures, and to the greatest degree possible, mitigate the health impact on the population.To an even greater extent, there is a need to mitigate the spread of airborne communicable diseases such as influenza.In each of these scenarios, British Columbia Medical Health Officers are mandated to intervene and take a lead role in limiting spread of the hazard, and exposure of the population.However, the Medical Health Officer also may play a supporting role in situations in which another agency is the designated lead.Floods, forest fires, and hazardous materials releases represent situations in which the Medical Health Officer must play the role of the expert regarding human health.

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)0.011
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0130.004
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.024
GPT teacher head0.312
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2000
Admission routes1
Has abstractyes

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