Caleb Geniesse

Claim-Level Transparency Analysis of LLM-Generated Diagnostic Reports: A Metabolic and Endocrine Biomarker Study

This study evaluates the factual reliability of LLM-generated diagnostic reports for metabolic and endocrine biomarkers, finding that while hallucination rates are low, many claims lack fully verified evidence.

Topological data analysis reveals rigid brain-state dynamics during self-viewing in trait rumination

This paper uses topological data analysis to show that higher trait rumination is linked to reduced brain-state variability during self-relevant tasks.

A Data-Driven Latent Variable Approach to Validating the Research Domain Criteria Framework

This study validates the RDoC framework using a latent variable approach, showing a bifactor model better fits fMRI data than the current framework and highlights underrepresentation of the arousal and regulatory systems domain.

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data

The paper examines Mapper parameter choices in functional neuroimaging data to improve the extraction of topological and temporal features using synthetic and real fMRI data.

Spontaneous and deliberate modes of creativity: Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking

The paper uses multitask eigen-connectivity analysis to identify latent cognitive modes during creative thinking, showing that both deliberate and spontaneous thinking contribute to creativity.