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Compute Submission Confidence Index (SCI)

Source: R/sci.R
compute_sci.Rd

Computes the SCI from pillar scores as a weighted sum scaled to 0–100, with decision band classification.

Usage

compute_sci(pillar_scores, config = sci_config_default())

Arguments

pillar_scores

A tibble from compute_pillar_scores() with columns pillar, pillar_score, weight.

config

An sci_config from sci_config_default().

Value

A list of class "sci_result" with:

  • SCI: numeric 0–100

  • band: character band classification

  • pillar_scores: the input pillar scores tibble

  • weights_used: named numeric vector of effective weights

Details

The SCI is computed as:

SCI = round(sum(pillar_score * weight) * 100, 1)

Pillars with NA scores are excluded from both the numerator and the weight normalization denominator.

Examples

if (FALSE) { # \dontrun{
ps <- compute_pillar_scores(evidence)
result <- compute_sci(ps)
result$SCI
result$band
} # }