Table 1. Example Sentences With Results From the Cloze Value Pretest, From the Truth-Value Pretest, and From the Truth-Value Rating During the ERP Experiment.

Condition	Example sentences	Cloze value (%)	Prerated truth-value	Truth-value rating in the experiment	Length in letters	Log frequency	Lexical co-occurrence
Note. ERP = event-related potential. Additional characteristics of the critical words are also given. The full set of materials is available in the Appendix. SDs are given in parentheses. Critical words are underlined for expository purposes. For truth-value ratings, 1 = false, 5 = true. Log frequency is based on the Celex corpus (celex.mpi.nl). Lexical co-occurrence is indexed with C-context semantic similarity values obtained with Latent Semantic Analysis (http://lsa.colorado.edu), reflecting the average co-occurrence of the critical word with each word in the sentence context.
True-negative	Few gardeners plant their flowers during the winter for best results.	34	4.05	4.69	5.7	1.63	.18
	Hardly any retirees report that their health is starting to improve as they age.	(24)	(.32)	(.15)	(2.1)	(.73)	(.07)
True-positive	Many gardeners plant their flowers during the spring for best results.	32	4.11	4.65	6.4	1.49	.19
	Lots of retirees report that their health is starting to decline as they age.	(26)	(.34)	(.15)	(2.0)	(.82)	(.08)
False-negative	Few gardeners plant their flowers during the spring for best results.	4	1.91	1.28	6.4	1.49	.19
	Hardly any retirees report that their health is starting to decline as they age.	(8)	(.38)	(.15)	(2.0)	(.82)	(.08)
False-positive	Many gardeners plant their flowers during the winter for best results.	2	1.79	1.23	5.7	1.63	.18
	Lots of retirees report that their health is starting to improve as they age.	(4)	(.39)	(.15)	(2.1)	(.73)	(.07)