Cinquième rapport sur les sujets de recherche en gastro-entérologie.
Bibliographic record
Abstract
Les progres recents, realises en gastro-enterologie sont le fruit direct des decouvertes faites a un rythme rapide, en recherche fondamentale, dans les domaines de la biologie cellulaire et de la biologie moleculaire. L’approche a permis de definir les processus physiologiques normaux du tube digestif et la pathogenese des mecanismes morbides. Le milieu de la recherche en gastro-enterologie au Canada est devenu chef de file mondial par ses efforts deployes dans toutes les disciplines connexes aux maladies digestives. Une bonne part du succes remporte est tributaire de l’excellence qui caracterise les stagiaires des cycles superieurs et ceux en formation postuniversitaire, engages dans la recherche en gastro-enterologie dans divers etablissements au Canada. Bon nombre de ces stagiaires recoivent des subventions de l’Association canadienne de gastroenterologie (ACG), auxquelles contribuent les Instituts de recherche en sante du Canada, certains partenaires du secteur de l’industrie et la Fondation canadienne des maladies inflammatoires de l’intestin.
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 | 0.015 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.034 | 0.008 |
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".