Bibliographic record
Abstract
L'hypertension arterielle represente un probleme de sante majeur, puisqu'elle touche dans les pays industrialises pres de 15% de la population adulte et la place au premier rang des facteurs de risques des maladies cardio-vasculaires. D'une maniere generale, le point d'impact des medicaments antihypertenseurs se trouve la ou l'on peut interferer de maniere efficace avec un ou plusieurs systemes vasopresseurs. La Chymase Cardiaque Humaine fut decouverte il y a une vingtaine d'annees et semble impliquee dans la regulation de la pression par le biais du systeme renine-angiotensine. Le developpement d'inhibiteurs selectifs et puissants de cette enzyme devrait permettre de mieux comprendre les implications physiologiques de cette enzyme et d'ouvrir la voie a de nouvelles therapeutiques. Nous avons envisage un programme de recherche de nouvelles molecules non peptidiques inhibitrices de la chymase cardiaque humaine. Par analogie aux structures hydantoiniques et quinazoliniques decrites par les Laboratoires Suntory, nous avons developpe la synthese de nouveaux inhibiteurs de structure hydantoinique non polycyclique (diversement substitue en position 1, 3 et 5 de l'hydantoine), polycyclique (derive de l'indole et de la tetrahydroisoquinoline), ainsi que des composes non hydantoiniques de structures variees. L’ensemble de ces molecules a ete teste comme inhibiteurs de la chymase cardiaque humaine sans toutefois exprimer une activite importante (de l'ordre du ?M, soit 100 fois inferieures a celle des composes leaders de la litterature).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".