  This paper investigates the conceptual relationship between openness and
reproducibility using a model-centric approach, heavily informed by probability
theory and statistics. We first clarify the concepts of reliability,
auditability, replicability, and reproducibility--each of which denotes a
potential scientific objective. Then we advance a conceptual analysis to
delineate the relationship between open scientific practices and these
objectives. Using the notion of an idealized experiment, we identify which
components of an experiment need to be reported and which need to be repeated
to achieve the relevant objective. The model-centric framework we propose aims
to contribute precision and clarity to the discussions surrounding the
so-called reproducibility crisis.
