Auf dem falschen Dampfer? Anwendung des Bayes-Theorems zur Risiko-Abschätzung in der strategischen Unternehmensplanung
Bibliographic record
Abstract
Durch die zunehmende Globalisierung und Dynamisierung des Marktumfelds sind Unternehmen mit immer größeren Unsicherheiten konfrontiert. Beispielhaft sollen an dieser Stelle nur die folgenden Fragen genannt werden: wie sind die Marktchancen eines neuen Produkts? Wie sieht die Kreditwürdigkeit eines neuen Geschäftspartners aus? Wie wird sich die Konkurrenz verhalten? Wie wird sich der Preis entwickeln? Zur Beantwortung dieser und ähnlicher Fragen ist oftmals die Quantifizierung von Wahrscheinlichkeiten notwendig. Erfahrungsgemäß ist die Generierung solcher Wahrscheinlichkeiten aber alles andere als einfach.
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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 | 0.014 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".