This model is a research preview. It is offered for advancing public science and for evaluation. It is not a substitute for a domain expert, and it is not a certified decision system. FelaTab reads a small table you already have and predicts the missing cells. You give it some example rows with their answers (the support rows) and one or more rows you want filled in (the query rows); it learns the pattern from your examples in a single pass and returns the answer with a calibrated confidence range. There is no per table training, no fitting, and no setup: you point it at a table and it predicts. It runs on a plain CPU with no GPU. It is a prior fitted network (a "foundation model for…