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Fig. 1 The two robots used in the Mechanistic Manipulation.
Participants in the original High-Mechanistic condition completed the additional Mechanistic Manipulation, while participants in the original Low-Mechanistic condition moved on immediately to the next task.
Participants were categorized into the Low-Mechanistic group if they had not received the Mechanistic Manipulation and had not accurately answered either of the Mechanistic Assessment questions.
Participants who either received the Mechanistic Manipulation but did not accurately answer either of the Mechanistic Assessment questions or did not receive the Mechanistic Manipulation but accurately answered one of the two Mechanistic Assessment questions (i.e., participants who migrated out of condition) were excluded from analyses.
Thus, while we expect the Mechanistic Manipulation to be the primary method increasing mechanistic understanding, we are able to account for participants who migrated across conditions (7 originally in the High-Mechanistic condition, 14 originally in the Low-Mechanistic condition) by including the Mechanistic Assessment responses in group assignment.
Participants were categorized into the High-Mechanistic group if they had received the Mechanistic Manipulation and indicated in at least one of the two questions that the robot's mechanism included both motors and wheels, and that the motor rotations caused the robot's wheels to rotate (i.e., they recognized the fundamental mechanism that connects the parts of the robot).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com