Utilisation de prismes jumelés et de prismes différentiels pour améliorer la posture
Bibliographic record
Abstract
Cet article présente des cas de changements posturaux et l’utilisation de prismes pour soulager les symptômes causés par les syndromes A et V (avec une suggestion quant à leur cause) ; l’asymétrie de la position de l’apophyse mastoïde ; l’asymétrie faciale résultant d’un taux de croissance inégal du crâne ; le relâchement de la mâchoire ; le syndrome de Duane et la paralysie du 6e nerf, ainsi que le dos voûté chez les patients âgés. Bien que les prismes jumelés et différentiels soient utilisés pour traiter et atténuer les symp-tômes éprouvés par les patients qui ont subi un traumatisme craniocéré-bral léger (TCCL), cela dépasse la portée du présent article. Les méthodes d’examen des patients et les prismes prescrits sont décrits.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".