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The detection limit was theoretically obtained following the hypothesis testing schema implemented with the calibration curve methodology.
It is known that this results in a considerable lack of statistical power in the testing schema [27].
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Changing the color of the stimulus set allowed us to test schema transfer on novel material while matching the difficulty of old and new rule-based associations.
During the prototype testing the schema and relevant algorithm has worked successfully, and only misses few values because of this.
Thus, we take this as indirect evidence that material acquired on day 1 provided a framework for the more rapid acquisition of novel information during the transfer test (these new results are incorporated in the section Results, Transfer test: initial schema acqiuisition vs. new learning).
There are currently ca. 300 validatorTests (which test both schema and conventions) and we show examples that can validate the schema snippet for molecule.
In general, it is necessary to test our schema against noise.
Research to determine relevant predicates and semantic types, plus time to code and test each schema, are required.
We added the additional behavioral analysis reported above in the section Results, Transfer test: initial schema acquisition vs. new learning.
As the reviewers pointed out, the transfer test entailed schema transfer mainly for the non-spatial rather than the spatial schema.
Critically, convergence only happened after 24-hour-consolidation and during a transfer test where schema material was applied to novel but related trials.
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