SCORE is a very large project. Each paper and resource presents only a portion of the overall program. The following provides some guidance for delving into the details of the program.
A preprint published in 2021 provides an overview of the program design and goals. Some content of that preprint was incorporated into subsequent papers and supporting information.
The most general overview of the program is provided in the supporting information of Abatayo et al (2026). This supporting information section describes the design of the program and the process for extracting claims that were provided to teams for prediction.
The supporting information for Miske et al (2026), Aczel et al (2026), and Tyner et al (2026) provide details about the methodology for reproductions, robustness testing, and replications respectively.
Details of the human assessment methods and data are available in Mody et al (2026) and Wilkinson et al (2026).
Details of the machine methodologies are available in the supporting information for Rajtmajer et al (2026).
Several of the papers have links to specific data and code resources for outcomes reported in that paper. A general repository of SCORE content, including some of those resources, is accessible at https://osf.io/dtzx4/overview.
The searchable SCORE registry contains hundreds of registrations for the individual studies that were subjected to reproducibility or replicability tests: osf.io/registries/score
A general overview of the SCORE program and summary information is available at cos.io/score
If you identify errors in data or reporting in any parts of the SCORE program, please report them to cosscore@cos.io so that we can address them.

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