Table 4. Open in new tab Nested models...

Model

Predictor

R²

AIC

χ²

ChatGPT

Warmth direction

0.262

5.98

<0.001

Competence direction

0.345

5.18

<0.001

0.171

667.10

Warmth direction

0.263

6.05

<0.001

Competence direction

0.303

4.59

<0.001

Warmth representativeness

−0.415

−2.72

0.007

Competence representativeness

0.398

3.02

0.003

0.227

647.29

23.81

<0.001

Warmth direction

−0.082

−1.29

0.197

Competence direction

0.242

2.43

0.016

Warmth representativeness

−0.421

−2.90

0.004

Competence representativeness

0.186

0.33

0.333

Warmth interaction

1.198

7.18

<0.001

Competence interaction

0.280

1.22

0.222

0.322

600.74

50.55

<0.001

SBERT

Warmth direction

0.167

4.47

<0.001

Competence direction

0.058

1.45

0.148

0.027

848.43

Warmth direction

0.106

2.87

0.004

Competence direction

0.043

1.10

0.271

Warmth representativeness

−1.445

−7.08

<0.001

Competence representativeness

0.075

0.28

0.781

0.13

804.12

48.31

<0.001

Warmth direction

0.006

0.14

0.892

Competence direction

−0.086

−1.75

0.081

Warmth representativeness

−0.766

−2.88

0.004

Competence representativeness

−0.756

−2.21

0.028

Warmth interaction

1.007

3.12

0.002

Competence interaction

1.684

3.73

<0.001

0.167

783.34

24.78

<0.001

Table 4.

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Nested models showing incremental validity of Warmth and competence representativeness and its interaction with direction, for ChatGPT and SBERT, in predictions of human ratings of valence.

Model	#	Predictor	b	t	P	R²	AIC	χ²	P
ChatGPT	1	Warmth direction	0.262	5.98	<0.001
	1	Competence direction	0.345	5.18	<0.001	0.171	667.10
	2	Warmth direction	0.263	6.05	<0.001
		Competence direction	0.303	4.59	<0.001
		Warmth representativeness	−0.415	−2.72	0.007
		Competence representativeness	0.398	3.02	0.003	0.227	647.29	23.81	<0.001
	3	Warmth direction	−0.082	−1.29	0.197
		Competence direction	0.242	2.43	0.016
		Warmth representativeness	−0.421	−2.90	0.004
		Competence representativeness	0.186	0.33	0.333
		Warmth interaction	1.198	7.18	<0.001
		Competence interaction	0.280	1.22	0.222	0.322	600.74	50.55	<0.001
SBERT	1	Warmth direction	0.167	4.47	<0.001
	1	Competence direction	0.058	1.45	0.148	0.027	848.43
	2	Warmth direction	0.106	2.87	0.004
		Competence direction	0.043	1.10	0.271
		Warmth representativeness	−1.445	−7.08	<0.001
		Competence representativeness	0.075	0.28	0.781	0.13	804.12	48.31	<0.001
	3	Warmth direction	0.006	0.14	0.892
		Competence direction	−0.086	−1.75	0.081
		Warmth representativeness	−0.766	−2.88	0.004
		Competence representativeness	−0.756	−2.21	0.028
		Warmth interaction	1.007	3.12	0.002
		Competence interaction	1.684	3.73	<0.001	0.167	783.34	24.78	<0.001

Model	#	Predictor	b	t	P	R²	AIC	χ²	P
ChatGPT	1	Warmth direction	0.262	5.98	<0.001
	1	Competence direction	0.345	5.18	<0.001	0.171	667.10
	2	Warmth direction	0.263	6.05	<0.001
		Competence direction	0.303	4.59	<0.001
		Warmth representativeness	−0.415	−2.72	0.007
		Competence representativeness	0.398	3.02	0.003	0.227	647.29	23.81	<0.001
	3	Warmth direction	−0.082	−1.29	0.197
		Competence direction	0.242	2.43	0.016
		Warmth representativeness	−0.421	−2.90	0.004
		Competence representativeness	0.186	0.33	0.333
		Warmth interaction	1.198	7.18	<0.001
		Competence interaction	0.280	1.22	0.222	0.322	600.74	50.55	<0.001
SBERT	1	Warmth direction	0.167	4.47	<0.001
	1	Competence direction	0.058	1.45	0.148	0.027	848.43
	2	Warmth direction	0.106	2.87	0.004
		Competence direction	0.043	1.10	0.271
		Warmth representativeness	−1.445	−7.08	<0.001
		Competence representativeness	0.075	0.28	0.781	0.13	804.12	48.31	<0.001
	3	Warmth direction	0.006	0.14	0.892
		Competence direction	−0.086	−1.75	0.081
		Warmth representativeness	−0.766	−2.88	0.004
		Competence representativeness	−0.756	−2.21	0.028
		Warmth interaction	1.007	3.12	0.002
		Competence interaction	1.684	3.73	<0.001	0.167	783.34	24.78	<0.001

Model comparison metrics are provided, comparing the three levels of regression for each language model. Higher values for the outcome indicate more positive human ratings of the social categories.

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