Integrated Synthetic Gazepoint Research Workflow

Source-derived companion to gp3ml 0.3.0 vignette integrated-research-workflow.Rmd. R code blocks are omitted here; the Python companion script is under examples/integrated-research-workflow.py.

Synthetic upstream outputs

This article represents prepared outputs from gp3tools, gpbiometrics, and gp3sequences. The values are synthetic and shareable. The outcome is an experimentally assigned condition; the workflow does not infer emotion, stress, cognition, health, identity, intent, or another prohibited construct.

Assemble the modelling handoff

Declare task and provenance

Participant-grouped resampling

Repository-aware evaluation when available

Any reported predictive metrics are row-level outcomes under a declared participant-grouped assessment design. They are not participant-level psychological measurements and do not support causal or latent-state claims.