Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Complex Coordinate-Based Meta-Analysis with Probabilistic Programming

Authors: Valentin Iovene, Gaston E Zanitti, Demian Wassermann223-231

AAAI 2021 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We demonstrate results for two-term CQs, both on simulated meta-analysis databases and on the widely used Neurosynth database.
Researcher Affiliation Academia Valentin Iovene, Gaston E Zanitti, Demian Wassermann Inria, CEA, Universit e Paris-Saclay, Palaiseau, France
Pseudocode Yes Figure 1: CP-Logic program encoding a probabilistic CBMA database.
Open Source Code Yes The Neuro Lang program implementing this model is available at https://github.com/Neuro Lang/Neuro Lang/tree/master/examples/plot neurosynth relaxed tfidf.py.
Open Datasets Yes We demonstrate results for two-term CQs, both on simulated meta-analysis databases and on the widely used Neurosynth database.
Dataset Splits No The paper mentions evaluating on 'simulated meta-analysis databases' and the 'Neurosynth database' with varying 'sample sizes' and 'sub-samples', but does not provide specific train/validation/test splits or mention standard predefined splits.
Hardware Specification No The paper states, 'Solving a two-term CQ takes more than 30 minutes on a recent laptop,' but does not provide specific hardware details such as CPU/GPU models or memory.
Software Dependencies No The paper states, 'We implemented the program of fig. 1 in Prob Log2 (Dries et al. 2015),' but does not specify a version number for Prob Log2 or any other key software dependencies.
Experiment Setup Yes The threshold τ = 0.1 is used in both models. The value α = 300 was empirically chosen. Varying α near this value does not change the results noticeably.