Crises psychogènes non épileptiques : état des connaissances et apports de l’évaluation des traitements émotionnels
Bibliographic record
Abstract
Des crises psychogènes non épileptiques (CPNE) sont des manifestations transitoires d’allure neurologique pouvant évoquer, à tort, le diagnostic de crise épileptique, mais qui n’en présentent en réalité pas l’origine neurologique. Les CPNE ont rencontré ces cinq dernières années un intérêt croissant tant dans la description de la population concernée, que des origines du trouble et du substrat neuronal qui pourraient les sous-tendre. L’existence d’un profil particulier de traitements émotionnels constitue à ce jour une piste prometteuse de caractérisation de cette population qui a reçu une série de confirmations récentes. Nous présentons ici les données issues de différents domaines allant de la psychologie clinique aux neurosciences affectives et examinant les spécificités de traitements émotionnels rapportés dans les CPNE, ainsi que les pistes d’études à développer afin de mieux les caractériser.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".