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Record W4391915599 · doi:10.1093/ije/dyae014

Cohort Profile Update: The Québec Birth Cohort on Immunity and Health (CO·MMUNITY)

2024· article· en· W4391915599 on OpenAlexafffundabout
Marie‐Claude Rousseau, Marie‐Élise Parent, Philippe Corsenac, Charlotte Salmon, Miceline Mésidor, Canisius Fantodji, Florence Conus, Hugues Richard, Prévost Jantchou, Andrea Benedetti

Bibliographic record

VenueInternational Journal of Epidemiology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsMcGill University Health CentreCentre Hospitalier Universitaire Sainte-JustineUniversité du Québec en OutaouaisUniversité de MontréalMcGill UniversityCentre Hospitalier de l’Université de MontréalInstitut National de la Recherche Scientifique
FundersMultiple Sclerosis SocietyFonds de Recherche du Québec - SantéMultiple Sclerosis Society of CanadaCanada Foundation for InnovationCanadian Cancer SocietyArmand-Frappier FoundationCanadian Institutes of Health ResearchMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsCohortCohort studyMedicineDemographyInternal medicineSociology

Abstract

fetched live from OpenAlex

<br>
\nKey Features</br>
\n<br>• The Quebec Birth Cohort on Immunity and Health was originally set up to investigate the non-specific effects of Bacillus Calmette-
\nGuerin (BCG) vaccination on the occurrence of selected autoimmune and inflammatory diseases and included 81 496 persons born in
\n1974, who were followed until 1994.</br>
\n<br>• The cohort was expanded to enable studying rarer diseases requiring a larger sample size and follow-up during adulthood. Assembled in
\n2017, the expanded Quebec Birth Cohort on Immunity and Health (CO-MMUNITY) includes 400 611 individuals born in 1970–74 in the
\nprovince of Quebec, Canada, and followed until 2014; 2% of the cohort are deceased and 10% were potentially lost to follow-up.</br>
\n<br>• Administrative data acquired cover perinatal and sociodemographic information, BCG vaccination, medical services, hospitalizations for
\ndiabetes, lymphoma, multiple sclerosis, inflammatory bowel disease, asthma and other allergic diseases, prescription drugs and death
\nif applicable.</br>
\n<br>• A nested case-control study on inflammatory bowel disease was conducted with 2728 participants.</br>

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)0.006
metaresearch head score (Gemma)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.377
Teacher spread0.331 · 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 designObservational
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

Citations6
Published2024
Admission routes3
Has abstractyes

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