Skip to content

[S1] pipeline re-run needed: activate review-article detection (PR #136) #138

Description

@rhowardstone

Context

PR #136 (merged) adds:

  • JATS article-type extraction in tier0
  • publication_type field in tier1 (LLM + JATS fallback)
  • publication_type TEXT column in protocols table
  • UI: review article banner + relabeling in protocol card

What's needed

A full pipeline re-run on the A100 to:

  1. Re-run tier0_extract.py (extracts article_type from JATS for all PMCIDs)
  2. Re-run tier1_extract.py (adds publication_type to all predictions)
  3. Re-run build_kg.py (rebuilds DB with 24-column schema)
  4. Commit the new data/kg/atlas.db to deploy-render

Known review articles in corpus

  • PMC11235738 (Qi 2024, "Modeling, applications and challenges of inner ear organoid") — confirmed review by user
    • Currently shows: "Recipe card · 13 signaling factors · 100% grounded"
    • Should show: yellow warning banner + "Review-derived summary"

Gate criteria

Review flag only shows when publication_type == 'review' in the DB. Until re-run, all existing cards show unchanged behavior.

Linked to Issue #8 S1 sprint — grounding queue accuracy also benefits from removing review-article reagent noise.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions