Table 7.

CASP methodological quality assessment of studies of custom algorithms and machine learning models.

Authors	Q1	Q2	Q3	Q4	Q5	Q6	Q7	Q8	Q9	Q10	Q11	Q12	Score
Buckley et al. 26	1.0	1.0	1.0	0.5	0.5	0.5	1.0	1.0	0.5	0.5	0.5	0.5	8.5
Fino et al. 27	1.0	0.0	0.5	1.0	0.5	0.5	0.5	1.0	0.5	1.0	1.0	0.5	8.0
Ilg et al. 28	1.0	0.0	0.5	1.0	1.0	1.0	1.0	1.0	1.0	0.5	0.5	0.5	9.0
Mc Ardle et al. 10	1.0	1.0	1.0	0.5	1.0	0.5	1.0	1.0	1.0	0.5	0.5	0.5	9.5
Simila et al. 29	1.0	0.0	0.5	1.0	1.0	0.5	1.0	1.0	0.5	0.5	0.5	0.5	8.0
Stack et al. 30	1.0	1.0	1.0	0.5	0.0	0.5	0.5	0.5	1.0	0.5	0.5	0.5	7.5
Tesconi et al. 31	1.0	0.0	0.5	1.0	0.0	0.5	1.0	0.5	1.0	0.5	0.5	0.5	7.0
Zhang et al. 32	1.0	0.0	0.5	1.0	0.0	1.0	1.0	0.5	1.0	1.0	1.0	0.5	8.5
Zhou et al. 33	1.0	0.0	0.5	1.0	1.0	0.5	1.0	1.0	1.0	0.5	0.5	0.5	8.5
De Vos et al. 34	1.0	0.0	0.5	1.0	1.0	1.0	1.0	1.0	0.5	1.0	1.0	1.0	10.0
Di Lazzaro et al. 35	1.0	0.0	0.5	1.0	1.0	1.0	1.0	0.5	0.5	0.5	0.5	0.0	7.5
Hsu et al. 36	1.0	0.0	0.5	1.0	0.0	1.0	1.0	1.0	1.0	1.0	1.0	0.5	9.0
Jung et al. 37	1.0	0.0	0.5	1.0	0.0	1.0	1.0	1.0	1.0	0.5	1.0	0.0	8.0
Kashyap et al. 38	1.0	1.0	1.0	0.5	0.0	1.0	0.5	0.5	0.5	0.5	0.5	0.5	7.5
Mannini et al. 39	1.0	1.0	1.0	0.5	0.5	0.5	1.0	1.0	1.0	1.0	0.5	0.5	9.5
Moon et al. 40	1.0	0.0	0.5	1.0	0.0	1.0	0.5	1.0	0.5	1.0	1.0	0.5	8.0
Nukala et al. 41	1.0	0.0	0.5	0.5	0.0	1.0	1.0	0.5	0.5	1.0	1.0	0.0	7.0
Rastegari 42	1.0	0.0	0.5	1.0	0.0	0.5	1.0	0.5	0.5	1.0	0.5	0.5	7.0
Rehman et al. 43	1.0	1.0	1.0	0.5	0.5	1.0	0.5	1.0	0.5	0.5	1.0	0.5	9.0
Rovini et al. 44	1.0	0.0	0.5	1.0	0.0	0.5	0.5	0.5	0.5	1.0	0.5	0.5	6.5
Steinmetzer et al. 45	1.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	0.5	1.0	0.5	1.0	9.0
Tedesco et al. 46	1.0	0.0	0.5	1.0	1.0	0.5	1.0	1.0	0.5	1.0	1.0	1.0	9.5