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Record W7100488121

Guidelines 5 Shaken Baby Syndrome 6

2003· article· en· W7100488121 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakPublic healthTransmission (telecommunications)Disease controlQuarantineWest Nile virusPresentation (obstetrics)
DOInot available

Abstract

fetched live from OpenAlex

confi rmed) and the United States has already exceeded the total for the year 2002 (409 confi rmed and probable cases in Canada). The bulk of these cases have occurred in western locations that did not have cases last year. The count in Ontario as of October 24, 2003 was 88 confi rmed and probable cases (compared to 390 last year). In eastern Ontario small numbers of cases have occurred in the Ottawa, Kingston and Renfrew County. As a health unit we have conducted the activities of our West Nile virus plan. This includes surveillance for the virus in birds and mosquitoes as well as for human cases. The last cases of SARS in the outbreaks around the world occurred in June. Since this time there was one reported case in Singapore on September 9th in a laboratory researcher. No cases of transmission have been reported from this case, and the origin of infection is under investigation. In Canada there are three commissions on SARS. The Naylor Report is national in scope and was released and is now available on the Health Canada website (www.hc-sc.gc.ca). In his presentation Dr. Naylor acknowledged that it was the public health measures of isolation, quarantine and infection control that brought the SARS outbreaks to an end. He also observed that the system was pushed to the limit and possibly would not have been able to manage a second concurrent emer-gency or an infl uenza pandemic. There is a need to increase public health resources at the federal, provincial and local levels, and to en-

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.300
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2003
Admission routes1
Has abstractyes

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