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Bootstrap validation confirmed excellent calibration and internal validity of the prediction model.
An internal validation confirmed SIENA's realism.
Validation confirmed that the method is accurate, repeatable and precise.
Validation confirmed fulfilment of the equilibrium sampling requirements and high measurement precision.
In addition, external interlaboratory validation confirmed the accuracy of the real-time PCR method.
The end-use validation confirmed the interest of farmers in this decision-aid tool.
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Experimental validation confirms the accuracy of the model.
Experimental validation confirms the suitability of the chosen approach.
Validation confirms that the realized system complies with stakeholder requirements (the right system was built).
Experimental validation confirms the correctness of the numerical optimization procedures utilized to design the contraction.
The cross validation confirms that the quality control procedures improved the consistency of the database.
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