A "strut in tension" [sic] should typically have NO positive buckling factors, only negative buckling factors!
There should be no reason to generate an "error message" for a computed buckling factor of less than 1.0, other than by way of warning the user that the magnitude of the computed buckling load is less than the magnitude of the applied load - but this would be a "design warning" rather than any sort of "computational error message". (Many analysts will set up arbitrary "Unit Load Cases", such as an axial load of 1 newton or 1 kilonewton, which can be multiplied by arbitrary load factors of any appropriate magnitude, so the software has no way of knowing whether a computed buckling factor of 0.5 times Load Case 3 is "safe" or "unsafe".)
The same applies for negative buckling factors - they are a natural consequence of the numerical methods being used to extract the Eigen Values of the stiffness matrix, and should not be seen as an "error". Whether they have "physical meaning" only an intelligent human being can determine; if the loads are reversible, they may have physical meaning; if the loads are not reversible, they are still computationally valid for the numerical model, but may not have physical meaning for your actual structural system. (Always remember that FEA only creates a numerical model; it does not purport to be "the real thing", but it is sometimes easy to forget this when you look at those lovely Technicolour stress plots!)
Your FEA software may allow an option to only search for and display the positive Eigen Factors, but this does not mean that the negative factors don't exist; only you, the intelligent human designer, can make the judgement about whether to ignore any negative Eigen Factors the software is able to find.
If your preferred FEA software is not capable of generating negative Eigen Factors (where they exist for the stiffness matrix in question), I would see this is a limitation of the FEA code which can't find them, rather than being an "error" in the FEA code which can find the negative Eigen Values!