MétaCan
Menu
Back to cohort
Record W7100984437

DÉCLARATION SUR LE MAL DES TRANSPORTS

2014· article· en· W7100984437 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Motion (physics)Public healthPerceptionSet (abstract data type)DisseminationStatement (logic)
DOInot available

Abstract

fetched live from OpenAlex

public health advice relating to tropical infectious disease and health risks associated with international travel. Health Canada acknowledges that the advice and recommendations set out in this statement are based upon the best current available scientific knowledge and medical prac-tices, and is disseminating this document for information purposes to both travellers and the medical community caring for travellers. Persons administering or using drugs, vaccines, or other products should also be aware of the contents of the product monograph(s) or other similarly approved standards or instructions for use. Recommendations for use and other information set out herein may differ from that set out in the product monograph(s) or other similarly approved standards or instructions for use by the licensed manufacturer(s). Manufacturers have sought approval and provided evidence as to the safety and efficacy of their products only when used in accordance with the product mono-graphs or other similarly approved standards or instructions for use. Definition and Etiology Motion sickness is known by many names, for example, car sickness, sea sickness, air sickness, space sickness, and motion maladaption syndrome. Motion sickness is a normal response to perception of motion when there is sensory conflict about body motion perceived by different receptors (visual, vestibular, and body proprioceptors). It can also be induced when the pattern of motion differs from that previously experienced, in the absence of expected motion, or when a person is viewing a very large screen but is not actually moving. Unedéclarationd’un comité consultatif (DCC) Comité consultatif de lamédicine tropicale et de lamédecine des voyages (CCMTMV)*†

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)0.005
metaresearch head score (Gemma)0.022
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: Other
Teacher disagreement score0.158
Threshold uncertainty score0.527

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0030.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.1580.061

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 head0.039
GPT teacher head0.283
Teacher spread0.244 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicTravel-related health issuesFrench-language works237,207