Nierenzellkarzinom in der Perfusions-CT: erste klinische Erfahrungen
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
herauszufinden, wie sich Nierenzellkarzinome in der Perfusionsdarstellung verhalten. Methode: 30 Patienten mit klinisch hochgradigem Verdacht auf Nierenzell-Karzinom wurden im Rahmen des Stagings am 320-Schicht-CT untersucht. Das Untersuchungsprotokoll enthielt nach einer Niedrigdosis-Nativ-CT der Nieren eine dynamische Serie von 17 Scans, jeweils mit 80–100kV, 45mAs und 0,5s Rotationszeit. Mit einem Fluss von 8–10ml/s wurden 60ml Kontrastmittel injiziert. Ausgewertet wurden die absoluten Perfusionswerte über Festlegung eine ROI in der Aorta und jeweils im Nierenparenchym
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.
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) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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 it