An open source machine learning framework for efficient and transparent systematic reviews

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: The screened preprint abstract describes prioritizing human screening with learned relevance.

Impact: Watch screening burden and human-owned relevance decisions under the recorded review topic (see source) and the recorded review topic (see source).

Boundary: Published identity checked; abstract screened from related preprint, not journal full text. Ranking a collected corpus does not discover new records or establish a safe stopping rule. Next: replay against a fully labeled, frozen corpus and measure misses as well as burden. Ingested screened candidate; no adoption

Flags: Simulation and stopping-rule transfer; journal full text inaccessible in this pass; R-313 is the same family

Record State: Candidate only: not accepted into the reviewed catalog

What was reviewed: Previously screened candidate; review remains limited

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Recorded chart appearances

  • 2026-10-13: position 59. Relevant to the recorded review topic (see source); Previously screened candidate; review remains limited evidence
  • 2026-10-12: position 58. Relevant to the recorded review topic (see source); Previously screened candidate; review remains limited evidence