Cohorte familiale d'asthme du Saguenay-Lac-Saint-Jean (SLSJ asthma family cohort) - données génétiques de la puce de génotypage Omni2.5 (genetic data from Omni2.5 chip)
Bibliographic record
Abstract
La cohorte familiale d'asthme du Saguenay-Lac-Saint-Jean est une cohorte créée en 1997 et maintenue par la professeure Catherine Laprise afin de récolter des données de santé générale, cliniques et génétiques (génome, épigénome et transcriptome) pour l'étude des facteurs génétiques et environnementaux de risque et de protection de l'asthme. Cette cohorte inclus 1 394 individus répartis à travers 271 familles. Les données génétiques de cet ensemble ont été générées dans le cadre d'une collaboration avec le professeur Damian Labuda du Centre de recherche du Centre hospitalier universitaire Sainte-Justine (CHU Saint-Justine) et la professeure Hélène Vézina de l'Université du Québec à Chicoutimi (UQAC) afin de servir de données de référence pour la région du Saguenay-Lac-Saint-Jean. Les données ont été générées pour 235 individus non apparentés de la cohorte familiale d'asthme du Saguenay-Lac-Saint-Jean avec la puce Illumina Omni2.5. Les critères d'inclusions pour la sélection de ces 235 individus étaient d'être âgé de plus de 18 ans et d'avoir ses quatre grands-parents natifs de la région. Fichiers génétiques de format PLINK (bed, bim, fam). _______________________________________________________________________________________ The Saguenay-Lac-Saint-Jean asthma family cohort is a cohort created in 1997 and maintained by Professor Catherine Laprise to collect general health, clinical and genetic (genome, epigenome and transcriptome) data for the study of genetic and environmental risk and protective factors for asthma. The cohort included 1,394 individuals from 271 families. Genetic data from this set were generated in collaboration with Professor Damian Labuda of the Centre de recherche du Centre hospitalier universitaire Sainte-Justine (CHU Saint-Justine) and Professor Hélène Vézina of the Université du Québec à Chicoutimi (UQAC), to serve as reference data for the Saguenay-Lac-Saint-Jean region. Data were generated for 235 unrelated individuals from the Saguenay-Lac-Saint-Jean asthma family cohort using the Illumina Omni2.5 chip. The inclusion criteria for these 235 individuals were to be over 18 years of age and to have all four grandparents native to the region. Genetic files in PLINK format (bed, bim, fam).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".