Ein softwarebasierter Patientensimulator zur Evaluierung medizinischer Entscheidungssysteme
Bibliographic record
Abstract
Zusammenfassung Die Automatisierung der klinischen Intensivtherapie ist eine Entwicklung mit enormem ökonomischem Potential. Die immer komplexer werdenden Algorithmen für eine solche Automatisierung müssen während der Entwicklung aber auch zur Evaluierung und Validierung systematisch getestet werden. Besonders in der Entwicklungsphase eignen sich hierzu Simulationssysteme, die die physiologischen Reaktionen des Patienten abbilden und eine realitätsnahe Evaluierung ermöglichen. Im Folgenden soll ein solcher Patientensimulator vorgestellt werden, der einen mechanisch beatmeten Patienten abbilden kann. Die Ergebnisse der Patientensimulation zeigen in ihrer Gesamtheit physiologisch plausibles Verhalten und können in Echtzeit oder schneller berechnet werden.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.017 |
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".