Bibliographic record
Abstract
Au cours des dernières décennies, diverses percées technologiques ont modifié en profondeur la façon dont nous pratiquons la médecine. Aussi bien dans ses aspects cliniques et que dans son administration, la pratique médicale évolue : il suffit de penser aux endoprothèses qui remplacent les interventions chirurgicales ou aux dossiers numériques qui prennent le relais du papier. Quant à la médecine interne, elle connaîtra bientôt une transformation importante; les internistes devront en effet apprendre à utiliser couramment l’échographie au point d’intervention. Les applications de ce type d’échographie en médecine interne sont innombrables : on peut penser entre autres à l’évaluation précise du pouls jugulaire chez un patient gravement atteint, à la réalisation de ponctions artérielles ou veineuses, ou au diagnostic d’une tamponnade péricardique, d’une embolie pulmonaire ou de la présence de liquides corporels à drainer, pour n’en nommer que quelques-unes.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".