=== PREVIOUS CANDIDATES: ATTENTION TO USER GUESS ===
L10 H2
 bare-response A=0.02022 B=0.05071 d=+0.03050
 changed-MC-wording A=0.00441 B=0.19330 d=+0.18889
 early-guess+late-distractor A=0.16992 B=0.05716 d=-0.11276
 self-early/fiction-late A=0.06335 B=0.11346 d=+0.05011
 fiction-early/self-late A=0.05811 B=0.49585 d=+0.43774
 revised-guess A=0.18030 B=0.15637 d=-0.02393
 boundary-all-guesses A=0.01525 B=0.04835 d=+0.03310
L11 H2
 bare-response A=0.00991 B=0.01212 d=+0.00221
 changed-MC-wording A=0.01768 B=0.13251 d=+0.11482
 early-guess+late-distractor A=0.06528 B=0.12076 d=+0.05548
 self-early/fiction-late A=0.11475 B=0.17767 d=+0.06293
 fiction-early/self-late A=0.06708 B=0.26257 d=+0.19550
 revised-guess A=0.05603 B=0.11069 d=+0.05466
 boundary-all-guesses A=0.00898 B=0.00861 d=-0.00037
L9 H2
 bare-response A=0.00582 B=0.01972 d=+0.01390
 changed-MC-wording A=0.00290 B=0.26904 d=+0.26614
 early-guess+late-distractor A=0.12125 B=0.01434 d=-0.10691
 self-early/fiction-late A=0.03694 B=0.07132 d=+0.03438
 fiction-early/self-late A=0.01773 B=0.56860 d=+0.55087
 revised-guess A=0.07089 B=0.05382 d=-0.01707
 boundary-all-guesses A=0.00404 B=0.01313 d=+0.00908
L10 H0
 bare-response A=0.00484 B=0.00894 d=+0.00410
 changed-MC-wording A=0.00377 B=0.16400 d=+0.16023
 early-guess+late-distractor A=0.02908 B=0.00316 d=-0.02592
 self-early/fiction-late A=0.00814 B=0.00641 d=-0.00173
 fiction-early/self-late A=0.00507 B=0.09073 d=+0.08566
 revised-guess A=0.03362 B=0.00813 d=-0.02550
 boundary-all-guesses A=0.00324 B=0.00673 d=+0.00349
L12 H1
 bare-response A=0.00311 B=0.01799 d=+0.01488
 changed-MC-wording A=0.00310 B=0.57593 d=+0.57283
 early-guess+late-distractor A=0.10483 B=0.23358 d=+0.12875
 self-early/fiction-late A=0.02417 B=0.28394 d=+0.25977
 fiction-early/self-late A=0.01644 B=0.33569 d=+0.31926
 revised-guess A=0.04614 B=0.36218 d=+0.31604
 boundary-all-guesses A=0.00265 B=0.01121 d=+0.00855
L9 H0
 bare-response A=0.01992 B=0.07272 d=+0.05280
 changed-MC-wording A=0.00841 B=0.21912 d=+0.21070
 early-guess+late-distractor A=0.17993 B=0.02853 d=-0.15140
 self-early/fiction-late A=0.08463 B=0.10742 d=+0.02280
 fiction-early/self-late A=0.07343 B=0.65820 d=+0.58478
 revised-guess A=0.16235 B=0.26172 d=+0.09937
 boundary-all-guesses A=0.01411 B=0.04694 d=+0.03283
L12 H2
 bare-response A=0.00289 B=0.00921 d=+0.00633
 changed-MC-wording A=0.00091 B=0.30127 d=+0.30036
 early-guess+late-distractor A=0.07889 B=0.12057 d=+0.04169
 self-early/fiction-late A=0.00291 B=0.22699 d=+0.22408
 fiction-early/self-late A=0.00239 B=0.69482 d=+0.69244
 revised-guess A=0.03082 B=0.46973 d=+0.43891
 boundary-all-guesses A=0.00253 B=0.01185 d=+0.00933
L6 H2
 bare-response A=0.01331 B=0.02521 d=+0.01190
 changed-MC-wording A=0.00083 B=0.01497 d=+0.01413
 early-guess+late-distractor A=0.01057 B=0.00861 d=-0.00195
 self-early/fiction-late A=0.00494 B=0.01335 d=+0.00841
 fiction-early/self-late A=0.00417 B=0.03038 d=+0.02621
 revised-guess A=0.00944 B=0.01449 d=+0.00505
 boundary-all-guesses A=0.00924 B=0.01878 d=+0.00954
L5 H1
 bare-response A=0.00001 B=0.00003 d=+0.00002
 changed-MC-wording A=0.00220 B=0.01798 d=+0.01578
 early-guess+late-distractor A=0.02539 B=0.12573 d=+0.10034
 self-early/fiction-late A=0.00072 B=0.03689 d=+0.03617
 fiction-early/self-late A=0.00091 B=0.04283 d=+0.04192
 revised-guess A=0.05937 B=0.27118 d=+0.21181
 boundary-all-guesses A=0.00002 B=0.00010 d=+0.00008
L5 H3
 bare-response A=0.00553 B=0.00739 d=+0.00186
 changed-MC-wording A=0.02003 B=0.17255 d=+0.15251
 early-guess+late-distractor A=0.19916 B=0.19769 d=-0.00146
 self-early/fiction-late A=0.01066 B=0.09602 d=+0.08536
 fiction-early/self-late A=0.00975 B=0.18002 d=+0.17027
 revised-guess A=0.11752 B=0.27429 d=+0.15677
 boundary-all-guesses A=0.00448 B=0.00783 d=+0.00335
L9 H1
 bare-response A=0.00853 B=0.02510 d=+0.01657
 changed-MC-wording A=0.01639 B=0.26031 d=+0.24392
 early-guess+late-distractor A=0.11441 B=0.09387 d=-0.02054
 self-early/fiction-late A=0.06552 B=0.16034 d=+0.09482
 fiction-early/self-late A=0.07224 B=0.49268 d=+0.42044
 revised-guess A=0.13077 B=0.49463 d=+0.36386
 boundary-all-guesses A=0.00694 B=0.01923 d=+0.01229
L11 H3
 bare-response A=0.00776 B=0.01828 d=+0.01052
 changed-MC-wording A=0.01052 B=0.15198 d=+0.14145
 early-guess+late-distractor A=0.03328 B=0.10803 d=+0.07475
 self-early/fiction-late A=0.03860 B=0.12622 d=+0.08762
 fiction-early/self-late A=0.03220 B=0.25940 d=+0.22720
 revised-guess A=0.02236 B=0.06938 d=+0.04702
 boundary-all-guesses A=0.00656 B=0.01330 d=+0.00674

=== USER-VERSUS-DISTRACTOR SELECTIVITY ===
Ranked by B-A in (user guess attention minus distractor attention).
L12 H1 A=+0.01018 B=+0.12298 d=+0.11280 B_prefers_user=6/8
L5 H1 A=+0.02151 B=+0.10869 d=+0.08718 B_prefers_user=7/8
L11 H2 A=+0.04125 B=+0.09437 d=+0.05312 B_prefers_user=6/8
L11 H3 A=+0.01314 B=+0.06607 d=+0.05293 B_prefers_user=6/8
L5 H3 A=+0.07718 B=+0.11362 d=+0.03644 B_prefers_user=7/8
L12 H0 A=+0.00307 B=+0.01495 d=+0.01188 B_prefers_user=6/8
L12 H3 A=+0.01066 B=+0.02208 d=+0.01142 B_prefers_user=4/8
L3 H3 A=-0.00794 B=-0.00231 d=+0.00563 B_prefers_user=2/8
L2 H1 A=-0.00636 B=-0.00169 d=+0.00467 B_prefers_user=0/8
L12 H2 A=-0.01320 B=-0.00859 d=+0.00461 B_prefers_user=4/8
L5 H2 A=+0.00517 B=+0.00911 d=+0.00394 B_prefers_user=7/8
L17 H1 A=+0.00044 B=+0.00327 d=+0.00283 B_prefers_user=5/8

=== POSITION-CONTROLLED SOURCE ATTRIBUTION ===
For each head: A/B mass on self, fiction, question; final query.
L10 H2
  8 selfLondon_then_fictionRome A ['0.0663', '0.0487', '0.8145'] B ['0.1400', '0.4866', '0.0694']
  9 fictionLondon_then_selfRome A ['0.0557', '0.0008', '0.8273'] B ['0.4624', '0.0190', '0.0642']
  10 selfRome_then_fictionLondon A ['0.0604', '0.0499', '0.8160'] B ['0.0869', '0.4336', '0.0756']
  11 fictionRome_then_selfLondon A ['0.0605', '0.0011', '0.8189'] B ['0.5293', '0.0424', '0.0696']
L11 H2
  8 selfLondon_then_fictionRome A ['0.1102', '0.0511', '0.2709'] B ['0.1705', '0.2036', '0.0358']
  9 fictionLondon_then_selfRome A ['0.0651', '0.0036', '0.2587'] B ['0.2600', '0.0107', '0.0401']
  10 selfRome_then_fictionLondon A ['0.1193', '0.0508', '0.2676'] B ['0.1848', '0.2006', '0.0387']
  11 fictionRome_then_selfLondon A ['0.0690', '0.0049', '0.2544'] B ['0.2651', '0.0094', '0.0426']
L9 H2
  8 selfLondon_then_fictionRome A ['0.0358', '0.0112', '0.8446'] B ['0.0608', '0.5562', '0.0984']
  9 fictionLondon_then_selfRome A ['0.0206', '0.0068', '0.8401'] B ['0.6079', '0.0208', '0.0599']
  10 selfRome_then_fictionLondon A ['0.0381', '0.0086', '0.8449'] B ['0.0818', '0.4785', '0.1284']
  11 fictionRome_then_selfLondon A ['0.0149', '0.0069', '0.8429'] B ['0.5293', '0.0378', '0.0773']
L10 H0
  8 selfLondon_then_fictionRome A ['0.0092', '0.0037', '0.9359'] B ['0.0080', '0.0457', '0.3245']
  9 fictionLondon_then_selfRome A ['0.0047', '0.0004', '0.9248'] B ['0.0795', '0.0137', '0.4371']
  10 selfRome_then_fictionLondon A ['0.0071', '0.0039', '0.9378'] B ['0.0048', '0.0515', '0.2961']
  11 fictionRome_then_selfLondon A ['0.0054', '0.0004', '0.9237'] B ['0.1019', '0.0095', '0.4315']
L12 H1
  8 selfLondon_then_fictionRome A ['0.0246', '0.0137', '0.5024'] B ['0.3716', '0.2345', '0.0548']
  9 fictionLondon_then_selfRome A ['0.0153', '0.0005', '0.4989'] B ['0.2603', '0.0011', '0.0510']
  10 selfRome_then_fictionLondon A ['0.0237', '0.0149', '0.5021'] B ['0.1963', '0.4146', '0.0450']
  11 fictionRome_then_selfLondon A ['0.0176', '0.0005', '0.4964'] B ['0.4111', '0.0009', '0.0432']
L9 H0
  8 selfLondon_then_fictionRome A ['0.0874', '0.0490', '0.4901'] B ['0.1218', '0.6230', '0.0277']
  9 fictionLondon_then_selfRome A ['0.0676', '0.0282', '0.4775'] B ['0.6157', '0.0099', '0.0220']
  10 selfRome_then_fictionLondon A ['0.0818', '0.0614', '0.4878'] B ['0.0930', '0.7109', '0.0239']
  11 fictionRome_then_selfLondon A ['0.0792', '0.0271', '0.4776'] B ['0.7007', '0.0110', '0.0192']
L12 H2
  8 selfLondon_then_fictionRome A ['0.0020', '0.0028', '0.9628'] B ['0.2325', '0.6938', '0.0509']
  9 fictionLondon_then_selfRome A ['0.0032', '0.0000', '0.9634'] B ['0.6650', '0.0001', '0.0568']
  10 selfRome_then_fictionLondon A ['0.0039', '0.0014', '0.9637'] B ['0.2214', '0.7231', '0.0309']
  11 fictionRome_then_selfLondon A ['0.0016', '0.0000', '0.9643'] B ['0.7246', '0.0001', '0.0356']
L6 H2
  8 selfLondon_then_fictionRome A ['0.0046', '0.0045', '0.1070'] B ['0.0139', '0.0311', '0.0747']
  9 fictionLondon_then_selfRome A ['0.0047', '0.0155', '0.1053'] B ['0.0320', '0.0266', '0.0702']
  10 selfRome_then_fictionLondon A ['0.0053', '0.0036', '0.1071'] B ['0.0128', '0.0291', '0.0758']
  11 fictionRome_then_selfLondon A ['0.0037', '0.0155', '0.1055'] B ['0.0288', '0.0280', '0.0724']

=== NO-GUESS AND REVISION CONTROLS ===
L10 H2
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0616', '0.8662'] B ['0.0000', '0.4612', '0.4593']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.9286'] B ['0.0000', '0.0000', '0.9609']
  14 revisedLondon_to_Paris A[self,other,question] ['0.1842', '0.1376', '0.6008'] B ['0.1558', '0.0129', '0.8221']
  15 revisedParis_to_London A[self,other,question] ['0.1764', '0.1880', '0.5574'] B ['0.1570', '0.0230', '0.8103']
L11 H2
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0186', '0.3293'] B ['0.0000', '0.0447', '0.0960']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.3131'] B ['0.0000', '0.0000', '0.1003']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0529', '0.0579', '0.1944'] B ['0.0939', '0.0445', '0.0410']
  15 revisedParis_to_London A[self,other,question] ['0.0591', '0.0673', '0.1902'] B ['0.1274', '0.0564', '0.0387']
L9 H2
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0197', '0.9072'] B ['0.0000', '0.4346', '0.3427']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.9052'] B ['0.0000', '0.0000', '0.9671']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0734', '0.1089', '0.6883'] B ['0.0578', '0.0071', '0.9129']
  15 revisedParis_to_London A[self,other,question] ['0.0684', '0.1212', '0.6840'] B ['0.0499', '0.0099', '0.9184']
L10 H0
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0081', '0.9316'] B ['0.0000', '0.0342', '0.6554']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.9445'] B ['0.0000', '0.0000', '0.9816']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0255', '0.0466', '0.8629'] B ['0.0078', '0.0025', '0.9749']
  15 revisedParis_to_London A[self,other,question] ['0.0417', '0.0419', '0.8489'] B ['0.0085', '0.0024', '0.9774']
L12 H1
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0165', '0.5478'] B ['0.0000', '0.4302', '0.1666']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.5480'] B ['0.0000', '0.0000', '0.3227']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0408', '0.1350', '0.3188'] B ['0.3044', '0.1615', '0.1176']
  15 revisedParis_to_London A[self,other,question] ['0.0515', '0.1112', '0.3103'] B ['0.4199', '0.1320', '0.0837']
L9 H0
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.1364', '0.5503'] B ['0.0000', '0.7915', '0.0761']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.6610'] B ['0.0000', '0.0000', '0.6991']
  14 revisedLondon_to_Paris A[self,other,question] ['0.1527', '0.1699', '0.3597'] B ['0.2402', '0.0468', '0.5412']
  15 revisedParis_to_London A[self,other,question] ['0.1720', '0.1849', '0.3268'] B ['0.2832', '0.0589', '0.4861']
L12 H2
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0034', '0.9620'] B ['0.0000', '0.6597', '0.3297']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.9480'] B ['0.0000', '0.0000', '0.9894']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0391', '0.1184', '0.7973'] B ['0.5381', '0.0842', '0.3745']
  15 revisedParis_to_London A[self,other,question] ['0.0225', '0.1925', '0.7425'] B ['0.4014', '0.1923', '0.4032']
L6 H2
  12 unrelatedLondon/no-guess A[self,other,question] ['0.0000', '0.0070', '0.1185'] B ['0.0000', '0.0218', '0.1483']
  13 question-only A[self,other,question] ['0.0000', '0.0000', '0.2108'] B ['0.0000', '0.0000', '0.4619']
  14 revisedLondon_to_Paris A[self,other,question] ['0.0094', '0.0107', '0.1337'] B ['0.0144', '0.0096', '0.3038']
  15 revisedParis_to_London A[self,other,question] ['0.0095', '0.0118', '0.1332'] B ['0.0146', '0.0101', '0.3123']

=== BARE RESPONSE: ALL HEADS WITH STRONGEST GUESS SHIFT ===
L9 H0 A ['0.02577', '0.03076', '0.00993', '0.01323'] B ['0.03760', '0.04785', '0.10413', '0.10132']
L10 H2 A ['0.02698', '0.03165', '0.00975', '0.01249'] B ['0.03589', '0.04410', '0.06195', '0.06091']
L8 H2 A ['0.00175', '0.00197', '0.00834', '0.00594'] B ['0.00133', '0.00167', '0.06610', '0.04883']
L8 H0 A ['0.00336', '0.00382', '0.00412', '0.00533'] B ['0.00717', '0.00929', '0.03421', '0.03870']
L10 H3 A ['0.01291', '0.01427', '0.01000', '0.01140'] B ['0.02109', '0.02351', '0.03677', '0.03937']
L9 H1 A ['0.00953', '0.01100', '0.00632', '0.00727'] B ['0.01611', '0.02121', '0.03149', '0.03159']
L12 H1 A ['0.00428', '0.00530', '0.00147', '0.00140'] B ['0.00726', '0.00894', '0.02315', '0.03262']
L9 H2 A ['0.00841', '0.00941', '0.00221', '0.00326'] B ['0.00867', '0.01229', '0.02374', '0.03418']
L8 H3 A ['0.00465', '0.00565', '0.00423', '0.00339'] B ['0.00743', '0.00981', '0.02750', '0.02478']
L6 H2 A ['0.01680', '0.01567', '0.01219', '0.00857'] B ['0.01878', '0.01558', '0.03806', '0.02841']

=== TOP FINAL-QUERY KEYS IN B FOR EARLY-GUESS CONTROLS ===
L10 H2 text6 [(12, 0.70898), (21, 0.19116), (7, 0.04663), (0, 0.01613), (14, 0.01016)]
L10 H2 text8 [(23, 0.48657), (14, 0.14001), (18, 0.08777), (24, 0.07794), (7, 0.06647)]
L10 H2 text10 [(23, 0.43359), (18, 0.14038), (14, 0.08691), (24, 0.07373), (7, 0.07172)]
L10 H2 text14 [(19, 0.80713), (14, 0.15576), (7, 0.01292), (21, 0.00883), (0, 0.00758)]
L11 H2 text6 [(0, 0.72607), (7, 0.12335), (21, 0.03162), (12, 0.02632), (14, 0.02611)]
L11 H2 text8 [(0, 0.47998), (23, 0.20361), (14, 0.17053), (13, 0.0206), (11, 0.02049)]
L11 H2 text10 [(0, 0.46924), (23, 0.20056), (14, 0.18481), (11, 0.02141), (13, 0.01787)]
L11 H2 text14 [(0, 0.77148), (14, 0.09393), (7, 0.04446), (30, 0.01611), (19, 0.01582)]
L9 H2 text6 [(21, 0.49121), (12, 0.29663), (22, 0.05081), (13, 0.04614), (14, 0.02118)]
L9 H2 text8 [(23, 0.55615), (7, 0.0802), (24, 0.07495), (18, 0.07477), (14, 0.06079)]
L9 H2 text10 [(23, 0.47852), (7, 0.10492), (18, 0.08508), (14, 0.08185), (24, 0.06604)]
L9 H2 text14 [(19, 0.74658), (21, 0.07953), (14, 0.05777), (20, 0.05588), (22, 0.02698)]
L10 H0 text6 [(12, 0.88135), (19, 0.04486), (21, 0.02159), (30, 0.01321), (15, 0.00902)]
L10 H0 text8 [(18, 0.34888), (7, 0.30444), (21, 0.07709), (32, 0.05225), (23, 0.04568)]
L10 H0 text10 [(18, 0.39062), (7, 0.27808), (21, 0.06378), (32, 0.06094), (23, 0.05148)]
L10 H0 text14 [(19, 0.95312), (21, 0.00944), (14, 0.00779), (30, 0.00742), (20, 0.00574)]
L12 H1 text6 [(0, 0.39502), (7, 0.25366), (21, 0.23901), (14, 0.09711), (12, 0.00542)]
L12 H1 text8 [(14, 0.37158), (0, 0.31641), (23, 0.2345), (9, 0.04868), (11, 0.00595)]
L12 H1 text10 [(23, 0.41455), (0, 0.32031), (14, 0.19629), (9, 0.03925), (11, 0.00639)]
L12 H1 text14 [(0, 0.4043), (14, 0.30444), (7, 0.1615), (21, 0.10657), (19, 0.00696)]
L9 H0 text6 [(21, 0.6333), (14, 0.07257), (0, 0.07062), (22, 0.05704), (7, 0.02724)]
L9 H0 text8 [(23, 0.62305), (14, 0.12183), (0, 0.08728), (24, 0.05392), (22, 0.02208)]
L9 H0 text10 [(23, 0.71094), (14, 0.09302), (0, 0.0672), (24, 0.03336), (22, 0.01712)]
L9 H0 text14 [(21, 0.34644), (14, 0.24023), (0, 0.12201), (19, 0.09656), (20, 0.07581)]
