paperlab_publication_opportunity_mining

PaperLab Publication Opportunity Mining

When to Use

USE WHEN: deciding what PaperLab should write next, scanning NeqSim for publication-worthy changes, or converting code and task history into a ranked paper/book roadmap.

Signals to Inspect

Scoring Dimensions

Score candidates from 0 to 5 for:

• novelty,
• NeqSim improvement impact,
• validation data availability,
• benchmark feasibility,
• figure and table richness,
• journal fit,
• book reuse potential.

Output Schema

{
  "opportunities": [
    {
      "slug": "flash_solver_convergence",
      "title": "Flash solver convergence across multiphase envelopes",
      "paper_type": "characterization",
      "readiness": "needs_validation",
      "target_journals": ["computers_chem_eng"],
      "required_evidence": ["benchmark matrix", "reference data", "failure taxonomy"],
      "neqsim_improvement": "adds regression benchmarks and solver diagnostics",
      "score": 22
    }
  ]
}

Pass Criteria

• Each proposed topic has a concrete NeqSim improvement.
• Each topic has a validation or reproducibility path.
• At least one target output is named: paper, chapter, review, benchmark note, or lab.

Safety Rules

• Do not claim novelty without checking prior PaperLab papers and obvious literature.
• Keep private task names and asset tags out of public roadmaps.
• Mark speculative ideas as speculative.