My SETI research may be inaccurately deemed a 'false positive' - pulsars, LGM, etc .
Actually, evaluation of my research is likely to result in a 'false negative'.
False negative: An incorrect indication that something is not present when it really is.
False positive: A result that shows something is present when it really is not.
Binary classification applied in SETI by Carl Sagan: "Extraordinary claims require extraordinary evidence."
My opinion: The process of scientific research does not produce either null or a confirmed finding.
There's a large non-binary gradient between null and confirmed. Carl Sagan's saying does not differentiate between the important research phases: exploration and confirmation. Instead it says that Sagan was only or mainly interested in extraordinary evidence.
Contexts and costs for AI classification and errors.
FP = False Positives, and FN = False Negatives.