Evidence standards

Methods & Reproducibility

GreenTheDream uses explicit evidence labels, documented assumptions, versioned computational work, and staged validation criteria to separate ideas, models, simulations, prototypes, and experimental findings.

The method record protects the work.

This page defines research status, assumptions, reproducibility requirements, correction procedures, code and data expectations, and the boundary between model behavior and claims about nature.

Last reviewed: September 2026
Primary rule: direct measurement, computation, publication, and theory are labeled separately.

Status taxonomy

How Claims Are Labeled

Concept, Theory, Simulation

  • Concept: an initial direction not yet formalized.
  • Theory: a defined model with stated assumptions.
  • Simulation: numerical evaluation under specified parameters and boundary conditions.

Prototype, Preprint, Publication

  • Prototype: a limited software or hardware implementation.
  • Preprint: a public manuscript before formal publication review.
  • Published: work released through a publisher, journal, or edited volume.

Experimental Validation

A result supported by reproducible physical measurement. This label is used only when direct measurement evidence exists and is identified.

Reproducibility Requirements

Assumptions and Boundaries

  • State governing equations or control rules.
  • List initial conditions and parameter ranges.
  • Identify approximations, idealizations, and excluded physics.
  • Define success, failure, and invalid-operation criteria.

Minimum Computational Record

  • Model version, source code or complete pseudocode
  • Dependency and environment information
  • Input data, parameter files, and configuration
  • Expected outputs and known failure modes

Validation and Falsification

  • Internal checks: dimensional consistency, convergence, conservation, and limiting cases.
  • Comparative checks against established models, datasets, and independent calculations.
  • Failure criteria that would weaken or reject the current model.

Corrections and Revisions

  • Substantive changes should be dated and described.
  • Preprints may be revised in response to review, replication, or newly identified errors.
  • Unsupported directions should be marked archived rather than presented as active.

Replication and Technical Feedback

Researchers submitting feedback should identify the relevant publication, equation, dataset, software version, parameter choice, or experimental condition. Replication reports are especially useful when they include enough information to reproduce both agreement and disagreement.