plato-tile-scorer
Multi-signal tile scoring — keyword, belief, domain, temporal, ghost, frequency, controversy.
Part of the PLATO framework — deterministic AI knowledge management through tile-based architecture.
Installation
pip install plato-tile-scorer
Usage
from plato_tile_scorer import TileScorer
scorer = TileScorer()
result = scorer.score(
tile={
"content": "Pythagorean triples snap to exact coordinates with zero drift",
"confidence": 0.9,
"domain": "constraint-theory",
"priority": "P0",
},
query="pythagorean snapping",
)
print(result.score) # weighted sum + deadband boost
print(result.signals) # {"keyword": 0.33, "belief": 0.9, ...}
print(result.gated) # False (keyword overlap > 0.01)
7 Scoring Signals
| Signal | Weight | Description |
|---|---|---|
| keyword | 0.30 | Token-level Jaccard overlap with query |
| belief | 0.25 | Confidence/belief score of tile |
| domain | 0.20 | Domain match with query context |
| temporal | 0.15 | Age-based freshness decay |
| ghost | 0.15 | Resurrection survival bonus |
| frequency | 0.10 | Usage count scaling |
| controversy | 0.10 | Counterpoint survival rate |
Keyword gating: if overlap < 0.01, score drops to 0. Deadband boost: P0 +10, P1 +1.
Zero external dependencies. Compatible with Python 3.8+.
1 maintainer
Metadata
1 maintainer
Release files for plato-tile-scorer 0.1.0
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