Governance-First Predictive Modelling for 'Gazepoint' Research R package gp3ml version 0.3.0 Provides governance-first infrastructure for leakage-resistant predictive modelling and validation using 'Gazepoint'-derived research data. Supports explicit task and role declarations, feature-provenance manifests, group-aware holdout splitting and repeated resampling, repository-aware fold evaluation, explicit governed tuning, nested grouped resampling, fold-local preprocessing, discrimination and calibration metrics, target-aligned uncertainty, external-validation and transportability reports, prediction-to-decision governance, target-aware conformal prediction, dataset-shift auditing, locked analysis plans, portable model artifacts, robustness diagnostics, environment provenance, research-object export, model cards, and reproducibility evidence. Intended only for explicitly observed, non-sensitive outcomes and declared scientific purposes. Use is prohibited for person identification, biometric authentication, health or protected-attribute inference, and direct or indirect inference of emotion, stress, personality, deception, cognition, comprehension, intent, or other mental states. Software Depends: R (>= 4.1.0) Suggests: bundle, callr, openssl, renv, jsonlite, keras3, knitr, nnet, pkgdown, ranger, rmarkdown, testthat (>= 3.0.0), xgboost Stefanos Balaskas <s.balaskas@ac.upatras.gr> Comprehensive R Archive Network (CRAN) Stefanos Balaskas [aut, cre] (ORCID: <https://orcid.org/0000-0003-2444-9796>) MIT + file LICENSE (https://CRAN.R-project.org/package=gp3ml/LICENSE) 2026-08-23 application/tgz https://CRAN.R-project.org/package=gp3ml doi:10.32614/CRAN.package.gp3ml en-US