bijux-proteomics-knowledge 0.3.4

Evidence, trust, and contradiction-resolution models for auditable proteomics decision knowledge graphs

bijux-proteomics-knowledge

bijux-proteomics-knowledge models the evidence and claim layer behind protein program decisions, including trust scoring, contradiction handling, and decision-lineage structures.

Use this package when you need auditable evidence provenance, conflict-aware knowledge management, and explicit reasoning about uncertainty and evidence gaps.

Why teams pick this package

• explicit evidence and claim models with trust and freshness semantics
• contradiction-aware resolution workflows that preserve audit history
• decision lineage structures for explainable governance and retrospectives
• compatibility with cross-package schema and serialization contracts

Typical use cases

• store and score evidence used to advance or block protein program decisions
• detect conflicting claims and apply explicit resolution policies
• build auditable trails that explain why a conclusion changed over time
• surface unresolved knowledge gaps before committing lab or portfolio spend

Installation

pip install bijux-proteomics-knowledge

Quick start

from bijux_proteomics_knowledge import evidence, claims, resolution, graph

Package boundaries

This package owns evidence records, claim state, trust scoring, and contradiction resolution.

It does not own lifecycle gate transitions, ranking policy decisions, or experiment scheduling.

Source guide

• src/bijux_proteomics_knowledge/evidence.py for evidence models, scoring, and contradiction detection
• src/bijux_proteomics_knowledge/resolution.py for conflict-resolution policies
• src/bijux_proteomics_knowledge/graph.py for evidence-graph validation rules
• src/bijux_proteomics_knowledge/claims.py for claim modeling and knowledge-gap audits
• tests for executable behavior expectations

Documentation

• Package guide
• Ownership boundary
• Architecture overview
• Interface contracts
• Release and versioning