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Version 1.0.1Sep 24, 20268 files

Decomposing treatment effect estimation reveals asymmetric clinical knowledge in large language models: analysis code, frozen prompts and aggregate results

Code, frozen prompts and aggregate results from a study of language-model number-needed-to-treat estimates against 539 reference values.

Shuhan He · Amal Mohamed · Cory Rohlfsen · Brian W. Locke · Brian Sheridan · Natasha Akomeah · Alex Sorrick · Andrew S. Parsons · Ali Raja · Jarone Lee · David Liebovitz

Large language modelsTreatment effectsClinical decision support
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Open ConductComposition