Illustrative demoSimulates confidence-gating behavior for education — not connected to production inference.

Illustrative demo

Explore when Lattice composes auxiliary structure with your backbone vs defers to baseline-only predictions. Demos are mock data — for research inquiries, get in touch.

Baseline vs gated vs always-on

Lattice decides whether an auxiliary scoring path gets composed with your backbone — not whether items vanish from the list. Gate OFF: rankings match your backbone exactly. Gate ON: same as always-on fusion on that session.

Session support (demo)55%
Gate threshold θ40%

GATE ON — auxiliary fusion active

Gated ranking matches always-on fusion on this session (same behavior as our MovieLens eval: OFF ≡ LSTM, ON ≡ ungated fusion).

Backbone only (baseline)

  1. 1.Viral TikTok Hit(Comedy)
  2. 2.Trending Sequel(Action)
  3. 3.Hype Train Movie(Drama)
  4. 4.Inception(Sci-Fi)
  5. 5.The Dark Knight(Action)

Lattice (gated)

  1. 1.Inception(Sci-Fi)
  2. 2.The Dark Knight(Action)
  3. 3.Interstellar(Sci-Fi)
  4. 4.The Matrix(Sci-Fi)
  5. 5.Pulp Fiction(Crime)

Always-on fusion (ungated)

  1. 1.Inception(Sci-Fi)
  2. 2.The Dark Knight(Action)
  3. 3.Interstellar(Sci-Fi)
  4. 4.The Matrix(Sci-Fi)
  5. 5.Pulp Fiction(Crime)

Mock rankings for education only — composition policy (OFF ≡ backbone, ON ≡ fusion), not item filtering. Does not expose production confidence formulas or training pipelines.