#' gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research
#'
#' `gp3ml` provides governance-first infrastructure for leakage-resistant
#' predictive modelling and validation using Gazepoint-derived research
#' data.
#'
#' Core capabilities include explicit task and variable-role declarations,
#' feature-provenance manifests, leakage auditing, group-aware holdout
#' splitting and repeated resampling, fold-local preprocessing, governed
#' model engines, performance and calibration assessment, bootstrap metric
#' uncertainty, external-validation reports, model cards, and
#' reproducibility reports.
#'
#' The package is intended only for explicitly observed, non-sensitive
#' outcomes and declared scientific purposes. It does not support person
#' identification, biometric authentication, health or protected-attribute
#' inference, or direct or indirect inference of emotion, stress,
#' personality, deception, cognition, comprehension, intent, or other
#' mental states.
#'
#' @keywords internal
"_PACKAGE"
