Cancer du sein in situ
Bibliographic record
Abstract
Du fait du dépistage du cancer du sein généralisé en France depuis 2004, les cancers du sein in situ représentent 15 à 20 % des nouveaux cancers du sein. Ces recommandations élaborées par l’Institut national du cancer et la Société française de sénologie et pathologie mammaire définissent les meilleures stratégies de prise enchargede ces lésions. La mammographie et l’échographie bilatérale sont les examens d’imagerie de référence. Les indications de l’IRM mammaire sont limitées. Letraitement de référence des cancers canalaires in situ, quand il est réalisable, comporte une tumorectomie et une radiothérapie. Les marges saines doivent être au minimum de 2 mm. Le curage ganglionnaire n’a pas d’indication, et la place du ganglion sentinelle est précisée. Pour les cancers lobulaires in situ, les recommandations s’appuient sur la classification LIN (OMS 2003). La surveillance recommandée des cancers du sein in situ traités comporte au minimum un examen clinique et une mammographie annuels complétés le plus souvent d’une échographie.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".