participant_id	orig_ID	Sex	Age	Accuracy_Manipulation_5	Accuracy_Manipulation_6	Accuracy_Manipulation_7	Accuracy_Retention_5	Accuracy_Retention_6	Accuracy_Retention_7
sub-001	1	Female	20	0.8500000000	0.7500000000	0.7000000000	0.9500000000	0.8500000000	0.8500000000
sub-002	2	Female	21	1	0.6500000000	0.8500000000	1	0.9000000000	0.8500000000
sub-003	3	Female	20	0.9500000000	0.8000000000	0.7000000000	0.9000000000	0.8500000000	0.7500000000
sub-004	4	Female	17	0.8500000000	0.7500000000	0.6500000000	0.9500000000	1	0.9000000000
sub-005	5	Female	20	0.9000000000	0.6500000000	0.6500000000	0.9500000000	0.9000000000	0.9500000000
sub-006	6	Female	18	0.8000000000	0.7000000000	0.6500000000	1	0.9000000000	0.7500000000
sub-007	7	Female	22	0.9000000000	0.6000000000	0.7000000000	1	1	0.9500000000
sub-008	8	Female	18	0.7000000000	0.8500000000	0.5500000000	0.9500000000	0.7000000000	0.8500000000
sub-009	9	Female	23	0.7500000000	0.6500000000	0.6000000000	1	0.9000000000	0.8500000000
sub-010	10	Female	18	0.9500000000	0.8000000000	0.9000000000	1	1	1
sub-011	11	Female	20	0.8000000000	0.8500000000	0.6500000000	0.9000000000	1	0.6500000000
sub-012	12	Female	20	0.8500000000	0.7000000000	0.6000000000	0.9500000000	0.9500000000	0.7500000000
sub-013	13	Female	20	0.8000000000	0.7500000000	0.8000000000	1	1	1
sub-014	14	Female	22	0.9500000000	0.8000000000	0.4500000000	0.8500000000	0.8500000000	0.8000000000
sub-015	15	Female	20	0.9500000000	0.6500000000	0.8000000000	0.9500000000	1	0.8500000000
sub-016	16	Female	18	0.9500000000	0.6500000000	0.6500000000	1	0.8500000000	0.7000000000
sub-017	18	Female	20	0.9000000000	0.8500000000	0.7000000000	1	1	0.9500000000
sub-018	19	Female	23	0.9500000000	0.9000000000	0.8000000000	1	1	0.9000000000
sub-019	20	Female	26	0.9500000000	0.8000000000	0.8000000000	0.9000000000	0.9500000000	0.8000000000
sub-020	21	Female	23	0.8000000000	0.8000000000	0.7000000000	1	0.9500000000	0.7500000000
sub-021	23	Female	18	0.6500000000	0.5500000000	0.6500000000	0.9000000000	0.9500000000	1
sub-022	24	Female	20	0.9500000000	0.9000000000	0.8500000000	0.8500000000	0.9000000000	0.8000000000
sub-023	25	Female	20	0.8000000000	0.3500000000	0.5000000000	0.9000000000	0.7500000000	0.7500000000
sub-024	28	Female	21	1	0.8500000000	0.6500000000	0.9500000000	1	0.8000000000
sub-025	29	Female	24	0.9500000000	0.8500000000	0.7500000000	0.9500000000	1	0.9000000000
sub-026	30	Female	19	0.8000000000	0.7500000000	0.6500000000	0.9500000000	0.8000000000	0.9000000000
sub-027	31	Female	20	0.8000000000	0.6000000000	0.5500000000	0.8500000000	0.9000000000	0.8500000000
sub-028	32	Female	20	0.9500000000	0.8000000000	0.6500000000	1	0.9000000000	0.8500000000
sub-029	33	Female	21	0.8000000000	0.5000000000	0.7500000000	0.8500000000	0.8000000000	0.8000000000
sub-030	34	Female	20	0.9000000000	0.7500000000	0.7500000000	0.9500000000	0.9500000000	1
sub-031	35	Female	22	0.9000000000	0.9500000000	0.9000000000	0.9500000000	1	0.8500000000
sub-032	36	Female	21	0.6000000000	0.7500000000	0.8000000000	0.8500000000	0.9000000000	0.8000000000
sub-033	37	Female	21	0.8500000000	0.7000000000	0.6000000000	1	0.9500000000	0.7000000000
sub-034	38	Female	21	0.5000000000	0.5000000000	0.4500000000	0.7000000000	0.8500000000	0.6500000000
sub-035	39	Female	20	0.7000000000	0.9500000000	0.5000000000	0.6500000000	0.7000000000	0.8500000000
sub-036	40	Female	20	0.6500000000	0.8000000000	0.7000000000	0.9500000000	0.8500000000	0.7500000000
sub-037	41	Female	18	0.9500000000	0.6500000000	0.5500000000	0.9500000000	0.9000000000	0.8000000000
sub-038	42	Female	19	0.7500000000	0.7500000000	0.6500000000	0.6500000000	0.9500000000	0.8500000000
sub-039	43	Female	21	0.8000000000	0.5500000000	0.6000000000	1	0.8500000000	0.8000000000
sub-040	45	Female	18	0.8500000000	0.6500000000	0.5500000000	0.9000000000	0.8500000000	0.6500000000
sub-041	47	Female	21	0.9000000000	0.6500000000	0.5500000000	0.9000000000	0.8000000000	0.9000000000
sub-042	48	Female	22	0.7500000000	0.6500000000	0.6000000000	0.8000000000	0.7000000000	0.6000000000
sub-043	49	Female	20	1	0.8500000000	0.7000000000	0.9000000000	0.9000000000	0.9000000000
sub-044	50	Female	21	0.7000000000	0.3000000000	0.6000000000	0.8000000000	0.8500000000	0.8500000000
sub-045	51	Female	20	0.9000000000	0.8000000000	0.7500000000	1	1	0.9000000000
sub-046	52	Female	21	0.8000000000	0.7500000000	0.7000000000	0.9500000000	0.8000000000	0.6500000000
sub-047	53	Female	20	0.7500000000	0.7500000000	0.7000000000	1	1	0.7000000000
sub-048	55	Female	19	0.6500000000	0.7000000000	0.6500000000	0.9500000000	1	0.7500000000
sub-049	56	Female	20	0.8500000000	0.7000000000	0.7500000000	0.9000000000	0.9500000000	0.9000000000
sub-050	57	Female	17	0.6500000000	0.6500000000	0.8000000000	0.7500000000	1	0.7500000000
sub-051	59	Female	19	0.6500000000	0.5500000000	0.6000000000	1	0.8500000000	0.9000000000
sub-052	60	Female	30	0.8000000000	0.7500000000	0.6500000000	0.9500000000	0.8500000000	1
sub-053	61	Female	18	0.5500000000	0.8000000000	0.6500000000	0.9500000000	0.9000000000	0.8500000000
sub-054	62	Female	19	0.9000000000	0.8000000000	0.6500000000	0.9000000000	1	0.8500000000
sub-055	63	Female	21	0.8500000000	0.7000000000	0.6000000000	1	0.9000000000	0.7500000000
sub-056	64	Female	21	0.9500000000	0.9000000000	0.4000000000	0.9500000000	0.9000000000	0.8000000000
sub-057	65	Female	28	0.9000000000	0.8500000000	0.7000000000	1	1	0.8500000000
sub-058	66	Male	20	0.7000000000	0.7000000000	0.7500000000	0.8500000000	0.9000000000	0.8000000000
sub-059	67	Male	19	0.6000000000	0.4500000000	0.7500000000	0.9500000000	1	0.9500000000
sub-060	68	Male	23	0.9000000000	0.7000000000	0.6500000000	0.9500000000	0.8500000000	1
sub-061	69	Male	20	0.9500000000	0.7500000000	0.8000000000	1	0.8000000000	0.9500000000
sub-062	70	Male	22	0.7500000000	0.6500000000	0.7500000000	1	0.9500000000	0.9500000000
sub-063	71	Female	21	1	0.6000000000	0.7500000000	1	1	0.9000000000
sub-064	73	Male	19	0.5000000000	0.5000000000	0.4500000000	0.8500000000	0.9500000000	0.8500000000
sub-065	74	Male	19	0.8000000000	0.4500000000	0.5000000000	0.9500000000	0.7500000000	0.8000000000
sub-066	75	Male	18	0.6500000000	0.7500000000	0.6500000000	1	0.9500000000	0.5500000000
sub-067	76	Male	21	0.8000000000	0.6000000000	0.5000000000	0.9000000000	0.8000000000	0.9000000000
sub-068	77	Female	20	0.6000000000	0.3500000000	0.6500000000	0.7000000000	0.8000000000	0.6500000000
sub-069	78	Male	22	0.5500000000	0.7000000000	0.7500000000	0.8500000000	0.6500000000	0.7500000000
sub-070	79	Female	19	0.8000000000	0.7000000000	0.4500000000	1	0.9500000000	0.9000000000
sub-071	80	Male	20	1	0.8000000000	0.7000000000	0.9000000000	0.9500000000	0.8500000000
sub-072	81	Female	20	0.8500000000	0.6000000000	0.6500000000	0.9000000000	0.9000000000	0.5000000000
sub-073	82	Female	20	0.6000000000	0.4500000000	0.5000000000	0.9000000000	0.7500000000	0.7500000000
sub-074	83	Male	21	0.8500000000	0.7000000000	0.7500000000	1	1	0.9500000000
sub-075	84	Female	21	0.8000000000	0.7500000000	0.7500000000	0.7500000000	0.8500000000	0.9000000000
sub-076	85	Female	20	0.9000000000	0.7500000000	0.9000000000	1	0.8500000000	1
sub-077	88	Male	19	0.8500000000	0.5500000000	0.5500000000	0.9500000000	0.9000000000	0.5500000000
sub-078	89	Female	20	0.5500000000	0.4500000000	0.6500000000	0.9000000000	0.4500000000	0.6500000000
sub-079	90	Male	20	0.9500000000	0.5500000000	0.6500000000	0.8500000000	0.8500000000	0.5500000000
sub-080	91	Male	20	0.6500000000	0.8000000000	0.8000000000	0.9500000000	0.9000000000	0.8500000000
sub-081	92	Male	32	0.8500000000	0.7000000000	0.6000000000	1	0.9000000000	0.7000000000
sub-082	93	Female	20	0.9000000000	0.9500000000	0.7500000000	0.9500000000	0.9500000000	0.7500000000
sub-083	94	Female	20	0.9000000000	0.6500000000	0.6000000000	0.9500000000	0.9500000000	0.7500000000
sub-084	95	Female	20	0.8500000000	0.8000000000	0.7000000000	1	0.8500000000	0.9000000000
sub-085	96	Male	23	0.7500000000	0.5000000000	0.6500000000	0.8500000000	0.8500000000	0.8000000000
sub-086	97	Male	19	0.7500000000	0.4500000000	0.5500000000	0.9000000000	0.6500000000	0.7000000000
sub-087	98	Female	20	0.7000000000	0.7500000000	0.8500000000	0.9500000000	0.9000000000	0.7500000000
sub-088	99	Male	22	0.8500000000	0.7500000000	0.7000000000	1	0.9500000000	0.8000000000
sub-089	100	Female	23	0.7500000000	0.3500000000	0.8000000000	0.9000000000	0.8500000000	0.8000000000
sub-090	102	Male	25	0.8500000000	0.5500000000	0.5000000000	0.8500000000	0.7500000000	0.8500000000
sub-091	103	Male	22	0.8500000000	0.6500000000	0.6000000000	0.9000000000	0.9000000000	0.9000000000
sub-092	105	Female	20	0.7500000000	0.7000000000	0.7500000000	0.8500000000	0.9000000000	0.7500000000
sub-093	108	Male	20	0.7500000000	0.6500000000	0.4000000000	0.8500000000	0.8500000000	0.6000000000
sub-094	110	Male	18	0.6500000000	0.6500000000	0.5000000000	1	0.9500000000	0.8000000000
sub-095	111	Female	20	0.9500000000	0.8000000000	0.8500000000	0.8500000000	0.8000000000	0.7000000000
sub-096	113	Female	20	0.8000000000	0.6500000000	0.7000000000	1	0.9000000000	0.8500000000
sub-097	114	Male	19	0.9000000000	0.6500000000	0.7000000000	1	1	0.9500000000
sub-098	116	Male	24	0.7500000000	0.7500000000	0.6500000000	0.6500000000	0.7500000000	0.5000000000
sub-099	118	Male	31	0.7500000000	0.6500000000	0.5500000000	0.9500000000	0.8000000000	0.8500000000
sub-100	119	Female	21	0.9500000000	0.7500000000	0.8500000000	0.9000000000	0.8000000000	0.7500000000
sub-101	120	Male	20	0.9500000000	0.5000000000	0.8000000000	0.9500000000	0.8500000000	0.8000000000
sub-102	121	Female	21	0.9500000000	0.7500000000	0.5500000000	0.8500000000	0.8500000000	0.8000000000
sub-103	122	Male	20	0.9500000000	0.5500000000	0.5000000000	1	0.8000000000	0.9000000000
sub-104	123	Female	21	0.5000000000	0.4000000000	0.6500000000	1	0.9000000000	0.7500000000
sub-105	124	Female	20	0.7500000000	0.6000000000	0.8000000000	1	0.8500000000	0.9000000000
sub-106	125	Male	19	0.8500000000	0.8000000000	0.7500000000	1	0.9500000000	1
sub-107	126	Male	20	0.7000000000	0.7500000000	0.6500000000	0.9500000000	0.7500000000	0.6000000000
sub-108	127	Male	20	0.9500000000	0.7500000000	0.8000000000	1	0.9500000000	0.9000000000
sub-109	128	Male	27	0.8000000000	0.5000000000	0.7500000000	1	1	0.8500000000
sub-110	129	Male	21	1	0.7000000000	0.6500000000	1	0.9500000000	0.9500000000
sub-111	131	Male	18	0.7500000000	0.4000000000	0.6000000000	0.6500000000	0.9000000000	0.6000000000
sub-112	132	Male	24	0.6500000000	0.5000000000	0.7000000000	0.9000000000	0.8500000000	0.6000000000
sub-113	133	Female	21	0.8500000000	0.7500000000	0.5500000000	0.9500000000	1	0.8000000000
sub-114	134	Male	20	0.7000000000	0.3500000000	0.7000000000	1	0.9500000000	0.9000000000
sub-115	135	Male	25	0.5000000000	0.5500000000	0.5500000000	1	0.9000000000	0.9000000000
sub-116	136	Male	21	0.8000000000	0.7000000000	0.7000000000	0.8500000000	0.9000000000	0.6000000000
sub-117	138	Male	19	0.8500000000	0.7500000000	0.8500000000	1	1	1
sub-118	139	Male	27	0.8000000000	0.7000000000	0.4500000000	0.9000000000	0.9000000000	0.7500000000
sub-119	141	Male	18	0.9500000000	1	0.9000000000	1	1	0.9500000000
sub-120	142	Male	26	0.9000000000	0.8500000000	0.8500000000	0.9000000000	0.8500000000	0.9500000000
sub-121	143	Male	26	0.8500000000	0.4500000000	0.5000000000	1	0.9500000000	0.9500000000
sub-122	144	Male	34	0.8500000000	0.4000000000	0.7000000000	0.9000000000	0.7000000000	0.5000000000
sub-123	146	Male	20	0.9000000000	0.8000000000	0.7500000000	0.9000000000	0.9500000000	0.9500000000
sub-124	148	Female	21	0.8500000000	0.6500000000	0.8000000000	1	0.9500000000	0.7500000000
sub-125	149	Male	18	0.8000000000	0.7000000000	0.7500000000	1	0.5500000000	0.7000000000
sub-126	150	Male	19	0.9000000000	0.4500000000	0.7500000000	0.8000000000	1	0.5500000000
sub-127	151	Male	23	0.6000000000	0.4500000000	0.4500000000	0.8000000000	0.8000000000	0.8000000000
sub-128	152	Male	19	0.7500000000	0.6000000000	0.5500000000	0.8500000000	0.9500000000	0.5000000000
sub-129	155	Male	26	0.7500000000	0.6000000000	0.4500000000	0.9000000000	0.7000000000	0.6000000000
sub-130	156	Male	22	0.9000000000	0.6500000000	0.3500000000	0.9500000000	1	0.8500000000
sub-131	157	Male	18	0.6000000000	0.6500000000	0.5000000000	0.9500000000	0.9500000000	0.8500000000
sub-132	159	Male	26	0.8500000000	0.7500000000	0.9000000000	0.9000000000	0.6500000000	0.5500000000
sub-133	160	Male	18	0.8500000000	0.6500000000	0.7000000000	0.9500000000	0.8000000000	0.9000000000
sub-134	161	Male	22	0.8000000000	0.6500000000	0.7000000000	1	0.8500000000	0.9000000000
sub-135	162	Male	20	0.8500000000	0.7000000000	0.6500000000	0.9500000000	0.8500000000	0.8500000000
sub-136	163	Female	18	0.8500000000	0.7000000000	0.5500000000	0.9500000000	0.9500000000	0.8000000000
sub-137	164	Female	18	0.8000000000	0.5500000000	0.7500000000	0.8000000000	0.8500000000	0.8000000000
sub-138	165	Male	19	0.9500000000	0.6500000000	0.5500000000	0.9500000000	1	1
sub-139	166	Male	23	0.6500000000	0.5000000000	0.6500000000	0.7500000000	1	0.8500000000
sub-140	167	Male	20	0.6500000000	0.6000000000	0.6500000000	0.9500000000	1	0.6500000000
sub-141	168	Male	18	0.6000000000	0.5000000000	0.5500000000	0.9000000000	0.8500000000	0.9000000000
sub-142	169	Male	21	0.6500000000	0.6500000000	0.5000000000	0.8000000000	0.9500000000	0.8500000000
sub-143	173	Male	21	0.7500000000	0.6000000000	0.5000000000	0.8500000000	0.6000000000	0.9000000000
sub-144	174	Male	28	0.7500000000	0.8000000000	0.9000000000	0.9500000000	0.9500000000	1
sub-145	175	Male	23	0.7500000000	0.7500000000	0.7500000000	1	0.9000000000	0.8500000000
sub-146	176	Male	31	0.4500000000	0.5500000000	0.5000000000	1	0.9000000000	0.7500000000
sub-147	177	Male	28	0.6000000000	0.7000000000	0.6500000000	0.9000000000	0.9500000000	0.8500000000
sub-148	178	Male	21	0.4500000000	0.6500000000	0.5000000000	0.9500000000	0.7500000000	0.9500000000
sub-149	179	Male	31	0.4500000000	0.5500000000	0.5000000000	1	0.9000000000	0.7500000000
sub-150	180	Female	31	0.7000000000	0.4000000000	0.6000000000	0.7500000000	0.7500000000	0.7000000000
sub-151	181	Male	20	0.8000000000	0.5500000000	0.4000000000	0.9500000000	0.9000000000	0.8000000000
sub-152	182	Male	18	0.7000000000	0.4000000000	0.6000000000	0.9000000000	0.9500000000	0.8000000000
sub-153	183	Male	20	0.7000000000	0.4500000000	0.4000000000	0.9500000000	0.9000000000	0.6500000000
sub-154	184	Male	28	0.9500000000	0.7000000000	0.7500000000	1	1	0.9000000000
sub-155	185	Male	25	0.8000000000	0.7000000000	0.6000000000	0.8500000000	0.8500000000	0.6000000000
sub-156	186	Male	18	0.7500000000	0.4500000000	0.7000000000	0.9500000000	0.9500000000	0.8000000000