Fiche synthèse pour l’utilisation des outils SCAT6® et SCOAT6
Bibliographic record
Abstract
La fiche synthèse pour l’utilisation des outils SCAT6® et SCOAT6 aide les cliniciens à comprendre et utiliser ces outils recommandés par la 6 e conférence de consensus sur les commotions cérébrales de 2022. Les commotions cérébrales, blessures courantes mais graves, nécessitent une prise en charge rapide. Le SCAT6® ( Sport Concussion Assessment Tool ) et le SCOAT6 ( Sport Concussion Office Assessment Tool ) fournissent des directives claires pour l’évaluation immédiate sur le terrain, le suivi à court terme et la gestion à long terme des commotions cérébrales. Cette fiche décrit l’utilisation de ces outils pour différentes situations cliniques, de l’évaluation initiale à la prise en charge post-commotionnelle, incluant des suggestions thérapeutiques adaptées. The summary sheet for the use of SCAT6® and SCOAT6 tools helps clinicians understand and use these tools, recommended by the 6th Concussion Consensus Conference of 2022. Concussions are common but serious injuries that require prompt treatment. The SCAT6® (Sport Concussion Assessment Tool) and SCOAT6 (Sport Concussion Office Assessment Tool) provide clear guidelines for immediate field assessment, short-term follow-up and long-term management of concussions. This sheet describes the use of these tools for different clinical situations, from initial assessment to post-concussion management, including appropriate therapeutic suggestions.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".