Table 1 |.

Semantic projection predicts human judgements: detailed results^*

Category	Feature	Pearson’s r				${\text{OC}}_{\text{p}}$
		r	z	P (FDR)	95% CI	${\text{OC}}_{\text{p}}$	z	P (FDR)	95% CI
Clothing	Age	0.56	4.34	<0.001	0.35 to 0.74	0.71	4.28	<0.001	0.61 to 0.76
Names	Age	0.62	4.95	<0.001	0.44 to 0.76	0.72	4.59	<0.001	0.63 to 0.77
Professions	Age	0.24	1.65	0.33	−0.08 to 0.51	0.57	1.38	0.52	0.45 to 0.65
Cities	Arousal	0	−0.002	1	−0.26 to 0.29	0.52	0.46	1	0.41 to 0.61
Professions	Arousal	0.52	3.92	<0.001	0.32 to 0.69	0.66	3.20	0.008	0.56 to 0.72
Sports	Arousal	0.28	2.00	0.15	−0.01 to 0.55	0.60	2.02	0.16	0.48 to 0.69
Cities	Cost	−0.16	−1.07	1	−0.46 to 0.17	0.47	−0.61	1	0.36 to 0.57
Clothing	Cost	−0.09	−0.61	1	−0.32 to 0.17	0.47	−0.60	1	0.37 to 0.55
States	Cost	0.02	0.12	1	−0.20 to 0.27	0.54	0.91	1	0.44 to 0.62
Animals	Danger	0.60	3.89	<0.001	0.35 to 0.76	0.70	3.30	0.006	0.57 to 0.76
Cities	Danger	0.71	6.12	<0.001	0.57 to 0.82	0.77	5.45	<0.001	0.68 to 0.81
Mythological creatures	Danger	0.72	6.30	<0.001	0.58 to 0.84	0.78	5.78	<0.001	0.69 to 0.83
Professions	Danger	0.45	3.23	0.005	0.17 to 0.67	0.64	2.83	0.02	0.53 to 0.72
Sports	Danger	0.38	2.70	0.028	0.18 to 0.55	0.63	2.68	0.03	0.54 to 0.69
Weather	Danger	0.79	6.28	<0.001	0.67 to 0.88	0.80	5.19	<0.001	0.70 to 0.83
Animals	Gender	0.70	4.83	<0.001	0.45 to 0.85	0.73	3.83	<0.001	0.60 to 0.80
Clothing	Gender	0.81	7.83	<0.001	0.73 to 0.88	0.81	6.34	<0.001	0.74 to 0.84
Mythological creatures	Gender	0.82	7.78	<0.001	0.68 to 0.89	0.74	4.93	<0.001	0.65 to 0.79
Names	Gender	0.94	11.87	<0.001	0.90 to 0.97	0.87	7.62	<0.001	0.81 to 0.89
Professions	Gender	0.92	10.64	<0.001	0.87 to 0.95	0.84	6.90	<0.001	0.76 to 0.87
Sports	Gender	0.85	8.67	<0.001	0.76 to 0.92	0.82	6.50	<0.001	0.73 to 0.86
Animals	Intelligence	0.08	0.44	1	−0.26 to 0.42	0.55	0.77	1	0.40 to 0.66
Cities	Intelligence	0.18	1.24	0.674	−0.14 to 0.51	0.58	1.60	0.36	0.45 to 0.67
Names	Intelligence	0.65	5.32	<0.001	0.48 to 0.79	0.74	4.86	<0.001	0.65 to 0.79
Professions	Intelligence	0.47	3.45	0.003	0.21 to 0.67	0.62	2.54	0.045	0.53 to 0.69
Sports	Intelligence	0.61	4.92	<0.001	0.42 to 0.75	0.69	3.86	<0.001	0.58 to 0.75
States	Intelligence	0.11	0.75	1	−0.15 to 0.37	0.58	1.71	0.31	0.48 to 0.67
Clothing	Location	0.32	2.27	0.084	0.01 to 0.57	0.58	1.70	0.30	0.46 to 0.68
Professions	Location	−0.13	−0.86	1	−0.37 to 0.11	0.45	−1.04	1	0.35 to 0.53
Sports	Location	0.65	5.27	<0.001	0.52 to 0.76	0.77	5.50	<0.001	0.68 to 0.82
Animals	Loudness	−0.08	−0.45	1	−0.43 to 0.28	0.48	−0.37	1	0.34 to 0.59
States	Political	0.37	2.67	0.029	0.10 to 0.62	0.65	3.09	0.010	0.54 to 0.73
Cities	Religiosity	0.46	3.43	0.003	0.06 to 0.70	0.58	1.74	0.300	0.46 to 0.68
States	Religiosity	−0.11	−0.76	1	−0.35 to 0.15	0.45	−0.93	1	0.35 to 0.55
Animals	Size	0.67	4.48	<0.001	0.51 to 0.80	0.74	3.94	<0.001	0.63 to 0.78
Cities	Size	0.14	0.99	0.99	−0.10 to 0.37	0.56	1.19	0.708	0.45 to 0.64
Mythological creatures	Size	0.70	5.94	<0.001	0.54 to 0.82	0.76	5.33	<0.001	0.67 to 0.81
States	Size	0.35	2.43	0.055	0.05 to 0.57	0.58	1.53	0.41	0.46 to 0.66
Animals	Speed	0.36	2.10	0.124	0.12 to 0.58	0.62	2.06	0.14	0.50 to 0.70
Sports	Speed	0.03	0.20	1	−0.29 to 0.35	0.52	0.38	1	0.41 to 0.61
States	Temperature	0.57	4.42	<0.001	0.32 to 0.79	0.74	4.88	<0.001	0.63 to 0.81
Weather	Temperature	0.47	2.96	0.013	0.18 to 0.68	0.66	2.79	0.024	0.53 to 0.74
Mythological creatures	Valence	0.64	5.20	<0.001	0.50 to 0.77	0.73	4.73	<0.001	0.65 to 0.78
Professions	Valence	0.38	2.72	0.027	0.12 to 0.58	0.59	1.73	0.298	0.48 to 0.66
Clothing	Wealth	0.37	2.68	0.029	0.04 to 0.65	0.62	2.57	0.044	0.51 to 0.71
Names	Wealth	0.53	4.07	<0.001	0.29 to 0.70	0.65	3.19	0.008	0.55 to 0.72
Professions	Wealth	0.53	4.00	<0.001	0.32 to 0.70	0.67	3.37	0.005	0.56 to 0.74
Sports	Wealth	0.43	3.25	0.005	0.14 to 0.64	0.62	2.54	0.046	0.51 to 0.70
States	Wealth	0.52	3.91	<0.001	0.30 to 0.67	0.65	2.98	0.014	0.54 to 0.72
Animals	Weight	0.07	0.37	1	−0.32 to 0.42	0.51	0.17	1	0.37 to 0.63
Animals	Wetness	0.79	6.01	<0.001	0.66 to 0.89	0.76	4.34	<0.001	0.65 to 0.81
Weather	Wetness	0.51	3.27	0.005	0.22 to 0.73	0.68	3.17	0.008	0.56 to 0.76
‘

^*Pearson’s correlations are ‘raw’ values (not Fisher transformed); z scores are computed relative to the mean and s.d. of an empirical null distribution (based on 10,000 permutations), estimated with a Gaussian fit (one-tailed test); P values across the 52 experiments are corrected for multiple comparisons using FDR; Confidence intervals are empirically estimated based on 10,000 bootstrap re-samples of the data.