Gain de poids à l'âge adulte et densité mammaire
Bibliographic record
Abstract
L'adiposité est un facteur de risque connu pour le cancer du sein et le gain de poids à l'âge adulte semble l'être également.Au niveau mammaire, le tissu adipeux peut être étudié au travers des mesures de densité.En effet, la zone non-dense reflète le gras mammaire et le pourcentage de densité, l'un des plus importants facteurs de risque pour le cancer du sein, reflète la proportion de tissu fibroglandulaire.Le premier objectif de ce mémoire était d'évaluer, chez 1435 femmes recrutées lors d'une mammographie de dépistage, l'association entre le gain de poids à l'âge adulte et trois paramètres de mesure de densité mammaire : le pourcentage de densité et les zones dense et non-dense en valeurs absolues.Le second objectif était de présenter un texte de synthèse et de discussion portant sur les interrelations entre l'adiposité, la densité mammaire et le risque de cancer du sein.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".