Европейский эндокринологический конгресс 2019. Обзор сообщений по нарушениям кальций-фосфорного обмена, костного метаболизма, остеопорозу и другим заболеваниям скелета в рамках конгресса.
Bibliographic record
Abstract
On May 18-21, 2019, the 21st European Congress of Endocrinology was held in Lyon (France), bringing together a record number of participants - more than 4,000 specialists from Europe, the USA, Canada, Israel, Saudi Arabia, Russia and the CIS countries . The past congress is an extremely important event in the endocrinological scientific community, providing an opportunity to learn about the latest achievements in the field of endocrinology and fundamental medicine from leading world experts, researchers and clinicians. Traditionally, the European Endocrinology Congress discusses the most pressing issues, including those related to the latest developments in the field of diabetology, thyroidology, obesity, reproductive endocrinology, neuroendocrinology, medical genetics, etc. In addition, this year, the problem of the pathology of phosphorus-calcium metabolism was widely covered, from the most common diseases of primary hypeptarthrosis and osteoporosis to rare genetically determined bone diseases.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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; both teacher heads agree on what is shown here.
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".