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I think this superconductivity coming from the interface between CaCuO2 and BaCuO2 thin films, grown on SrTiO3 substrate. Such interface superconductivity is an exceptional case, and it is out of our current scope. Let's remove them. Corresponding error would be "composition resolution".
On #125, we proposed another error type "Values resolution". The meaning of this word is, whose formula does not directly corresponds to their Tcs. This would include above examples (Interface).
"Values resolution" would include "EDLT: electron double-layer transister" as well. This ELDT enables us to change the number of electrons inside samples by applying voltage with proper electric circuit. When this becomes so popular, we may need to consider this as feature just like "pressure", but for the moment, I suggest that we can regard these "decorations" that alters Tc of formula as "Values resolution" error. In other words, it is out of scope as a user of data for machine learning.
This is the material that I don't know how to fix.
Another problem for extract the abbreviations like CCO and STO.
Current I follow to this rule.
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