Glossar einer deskriptiven Terminologie für die iktale Semiologie - Bericht der Task Force der Internationalen Liga gegen Epilepsie (ILAE) zur Klassifikation und Terminologie1 -
Bibliographic record
Abstract
Im Rahmen der Erarbeitung des Vorschlags eines diagnostischen Schemas für Menschen mit epileptischen Anfällen und Epilepsien einer Task Force der Internationalen Liga gegen Epilepsie (ILAE) zur Klassifikation und Terminologie wurde von einer Arbeitsgruppe dieser Task Force ein Glossar entwickelt, das bei der Beschreibung iktaler Ereignisse als Referenz dienen soll. Dieses Glossar soll ebenso wie der Vorschlag des gesamten diagnostischen Schemas zur Diskussion gestellt werden; Kommentare sind ausdrücklich erwünscht. Glossary of Descriptive Terminology for Ictal Semiology: Report of the ILAE Task Force on Classification and Terminology During the development of a proposal for a diagnostic scheme for people with epilepsy by a Task Force on Classification and Terminology of the International League Against Epilepsy (ILAE) a working group prepared a glossary as reference for the description of ictal semiology. As with the proposed diagnostic scheme this glossary is presented for review and comments. 1 autorisierte Übersetzung aus Epilepsia 2001; 42: 1212 - 1218 ohne das dort vorangestellte Inhaltsverzeichnis, aber mit zusätzlicher Zusammenfassung bzw.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.034 | 0.029 |
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".