Un modèle de qualité de la vie subjective adapté aux essais thérapeutiques : intérêt chez les patients dépressifs
Bibliographic record
Abstract
Cet article présente les bases conceptuelles qui ont présidé à l'élaboration d'un questionnaire (« Profil de la Qualité de Vie Subjective » ou « PQVS ») évaluant la qualité de vie subjective des patients en pathologie somatique et psychiatrique. Une description de l'instrument précède les données concernant la validation de ce questionnaire ainsi que les résultats déjà obtenus sur environ 1500 sujets présentant des pathologies différentes. Les premiers résultats montrent qu'à chaque pathologie correspond un profil différent de patients; qu'il est possible, grâce à ce nouvel instrument d'évaluation, de mettre en évidence des changements spécifiques et parfois inattendus chez les patients; et qu'enfin, dans un certain nombre de cas, l'on peut dégager des hypothèses explicatives de ces changements.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".