SCC Intelligence · SCI Explainability
Score and evidence, side by side.
A research-grade SCI view that shows not only the collector signal, but how much qualified evidence actually supports each factor and the overall confidence of the result.
500
models scored
18
verified SCI outputs
24
full factor coverage
25
confidence ≥ 75
43
avg. confidence
See why the score deserves trust — or caution.
SCI score, factor evidence coverage and research confidence stay separate so a strong collector signal is never confused with a complete evidence base.
Porsche
Porsche 959 Komfort
SCI SCI-1.5.0 · as of 2026-11-01
SCI score
92
Collector signal · separate from confidence
Confidence
100
Very high
8 of 8 factors covered
The donut measures evidence coverage, not collectability. Missing factor evidence remains visible instead of being hidden behind the SCI score.
6
comparable sales
2
source families
2026
latest sale year
SCI factor profile
Bars show the factor score. The evidence badge tells you whether the factor is actually covered by qualified data.
Scarcity
85
Collector significance
100
Future relevance
100
Historical performance
97
Demand & momentum
96
Liquidity
95
Price resilience
70
Supply dynamics
52
Research gates
No open SCI publication gate is reported for this model.
How to read this
Confidence measures the strength and diversity of the evidence supporting the current SCI output. Thin public trading can reduce Confidence without automatically reducing intrinsic collector quality.
Factor coverage shows which SCI factors have qualified evidence. Uncovered factors use conservative neutral priors for model stability, remain visibly provisional and must not be read as equally supported precision.
SCI is not confidence
SCI is the model-level collector signal. In SCI 1.5, structural collectibility carries 75% of the score and observable market factors carry 25%. It is not a promise of future returns.
Confidence measures the strength and diversity of the evidence supporting the current SCI output. Thin public trading can reduce Confidence without automatically reducing intrinsic collector quality.
No false precision
Factor coverage shows which SCI factors have qualified evidence. Uncovered factors use conservative neutral priors for model stability, remain visibly provisional and must not be read as equally supported precision.
Coverage, confidence and SCI remain separate measures throughout SCC. A high SCI with incomplete factor coverage must remain visibly distinguishable from a fully evidenced high-confidence result.