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Record W2270441669 · doi:10.1093/pch/20.8.437

The Committee to Advise on Tropical Medicine and Travel (CATMAT) – a reference for Canadian paediatricians

2015· article· en· W2270441669 on OpenAlexaffabout
Charles Hui

Bibliographic record

VenuePaediatrics & Child Health · 2015
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsTropical medicineGovernment (linguistics)Political scienceLibrary scienceTravel medicineHumanitiesMedicineFamily medicine

Abstract

fetched live from OpenAlex

The Committee to Advise on Tropical Medicine and Travel (CATMAT) is a federal government committee with wide representation in the fields of travel medicine and infectious diseases. They produce evidence-based statements on tropical and travel medicine for Canadian clinicians, including paediatric content ensured by the involvement of paediatric experts and a liaison member from the Canadian Paediatric Society. Links to all of the active statements are provided in the present practice point, with the aim of making Canadian health care providers more aware of this excellent resource. CATMAT statements of special interest to clinicians who deal with children address paediatric travellers, international adoption, personal protective measures to prevent arthropod bites, fever in the returning traveller, malaria, injury risk and travel, and guidelines for the practice of travel medicine.

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)0.007
metaresearch head score (Gemma)0.037
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.152
Threshold uncertainty score0.307

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.003
Scholarly communication0.0050.002
Open science0.0020.002
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0680.022

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 head0.060
GPT teacher head0.341
Teacher spread0.280 · 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
GenreOther

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

Citations4
Published2015
Admission routes2
Has abstractyes

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