plato-tile-scorer 0.1.0

Multi-signal tile scoring — keyword, belief, domain, temporal, ghost, frequency, controversy

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+.

GitHub