Bibliographic record
Abstract
Fachkurzinformation: Bezeichnung des Arzneimittels: Dioscomb® 1000 mg Filmtabletten; Qualitative und quantitative Zusammensetzung: 1 Filmtablette enthält 1000 mg mikronisierte Flavonoide, bestehend aus 900 mg Diosmin und 100 mg anderen Flavonoiden, dargestellt als Hesperidin.Sonstige Bestandteile: Tablettenkern: Magnesiumstearat, Talkum, Maisstärke, Gelatine, mikrokristalline Zellulose (Typ 102).Filmüberzug: Eisenoxid rot (E172), Eisenoxid gelb (E172), Macrogol 3350, partiell hydrolysierter Poly(vinylalkohol) (E1203), Titandioxid (E171), Talkum (E553b), Maltodextrin, Guargalactomannan (E412), Hypromellose (E464), mittelkettige Triglyzeride.Anwendungsgebiete: Dioscomb ist bei Erwachsenen angezeigt zur: Behandlung von chronischer Veneninsuffizienz der unteren Extremitäten bei folgenden funktionellen Symptomen: schwere Beine und Schwellungen, Schmerzen, nächtliche Krämpfe der unteren Extremitäten.Symptomatische Behandlung von akuten Hämorrhoidalbeschwerden. Gegenanzeigen: Überempfindlichkeit gegen den Wirkstoff oder einen der in Abschnitt 6.1 genannten sonstigen Bestandteile.Pharmakotherapeutische Gruppe:
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.902 | 0.815 |
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".