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Finds the columns in a table that encode the answer they are used to predict, by reading their names against the moment the prediction is made.
Some columns quietly give away the answer. Crucible reads what each column means, flags the ones you could not have known yet, and measures what they cost.
Information is abundant. Learning is fragmented. Continuum holds your goals, sources and what you actually understand in one workspace the AI can read, so knowledge compounds instead of restarting.
You can't put the answer inside the prediction. NASA's vetting flags are the answer, so my leakage-conservative model drops them. Three classes, 0.836 macro F1 out-of-fold. With the answers: 0.936
OASIS is an open-access digital pathology platform that automates brightfield IHC workflows—from batch processing to spatial analysis—making trustworthy tissue analysis more accessible.
OASIS automates brightfield IHC analysis end to end—batch processing to spatial analysis—making trustworthy digital pathology accessible to any lab, on the infrastructure it already has.
