The French Medicinal Chemistry Society–SCT, an Historical Member of EFMC**
Bibliographic record
Abstract
The French Society of Medicinal Chemistry or " Société de Chimie Thérapeutique " (SCT) was founded in 1966. Since its inception, its mission has been to promote knowledge in the main fields of pharmaceutical research and development, in particular the research and validation of biological targets of therapeutic interest, the screening, design and optimization of drug candidates, chemical biology, medicinal chemistry, pharmacokinetics, metabolism and toxicity. Since 1964, the Society has organized an annual international congress (RICT), and later thematic days for young researchers and workshops on specific topics. The SCT is also a member of the European Federation for Medicinal Chemistry (EFMC) and organized the International Symposium on Medicinal Chemistry (ISMC) in Nice in 2022. Several new trends can be identified in the activities of the SCT, such as the organization of regular webinars, but also the recent creation of the Young MedChem Forum, as well as the distribution of a newsletter reporting scientific achievements in the French community and abroad, and an improved presence on social networks. These trends are in line with the current changes in the field in terms of scientific progress, means of communication in the community and with the public and inclusiveness.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.009 |
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".