Seq miss analysis

#1

Train/Train/1522_R · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.008 · prefix argmax flips=1 · min prefix margin=0.318

Ground truth 4 — window defect

Prediction (exam-level) 0 — leakage

Softmax at selected frame

ClassMass

leakage

0.037

staining

0.206

no hyperfluorescence

0.195

pooling

0.038

window defect

0.524

truestep

Model frames + attention α

#0 α=0.002
early

#1 α=0.002
early

#2 α=0.002
early

#3 α=0.003
early

#4 α=0.007
mid

#5 α=0.076
mid

#6 α=0.122
mid

#7 α=0.149
mid

#8 α=0.141
late

#9 α=0.151
late

#10 α=0.157
late

#11 α=0.187
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	False
1	4	window defect	False
2	4	window defect	False
3	4	window defect	False
4	0	leakage	True
5	0	leakage	True
6	0	leakage	True
7	0	leakage	True
8	0	leakage	True
9	0	leakage	True
10	0	leakage	True
11	0	leakage	True

#2

Train/Train/724_L · test

3 model frames (max 12) · frame_span=phase_stratified · P(true)=0.008 · prefix argmax flips=1 · min prefix margin=0.270

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 0 — leakage

Softmax at selected frame

ClassMass

leakage

0.022

staining

0.150

no hyperfluorescence

0.762

truestep

pooling

0.009

window defect

0.056

Model frames + attention α

#0 α=0.016
mid

#1 α=0.170
late

#2 α=0.813
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	2	no hyperfluorescence	False
1	0	leakage	True
2	0	leakage	True

#3

Train/Train/0_R · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.011 · prefix argmax flips=2 · min prefix margin=0.011

Ground truth 1 — staining

Prediction (exam-level) 0 — leakage

Softmax at selected frame

ClassMass

leakage

0.043

staining

0.461

truestep

no hyperfluorescence

0.162

pooling

0.049

window defect

0.285

Model frames + attention α

#0 α=0.002
early

#1 α=0.002
early

#2 α=0.002
early

#3 α=0.008
early

#4 α=0.050
mid

#5 α=0.100
mid

#6 α=0.142
mid

#7 α=0.146
mid

#8 α=0.160
late

#9 α=0.171
late

#10 α=0.115
late

#11 α=0.100
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	4	window defect	False
2	4	window defect	False
3	0	leakage	True
4	0	leakage	True
5	0	leakage	True
6	0	leakage	True
7	0	leakage	True
8	0	leakage	True
9	0	leakage	True
10	0	leakage	True
11	0	leakage	True

#4

Train/Train/335_L · test

3 model frames (max 12) · frame_span=phase_stratified · P(true)=0.015 · prefix argmax flips=0 · min prefix margin=0.173

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.020

staining

0.245

no hyperfluorescence

0.022

true

pooling

0.066

window defect

0.647

step

Model frames + attention α

#0 α=0.344
mid

#1 α=0.280
late

#2 α=0.376
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	True
1	4	window defect	True
2	4	window defect	True

#5

Train/Train/486_L · test

7 model frames (max 12) · frame_span=phase_stratified · P(true)=0.017 · prefix argmax flips=1 · min prefix margin=0.017

Ground truth 4 — window defect

Prediction (exam-level) 0 — leakage

Softmax at selected frame

ClassMass

leakage

0.177

staining

0.343

step

no hyperfluorescence

0.103

pooling

0.050

window defect

0.327

true

Model frames + attention α

#0 α=0.003
early

#1 α=0.010
mid

#2 α=0.025
mid

#3 α=0.099
late

#4 α=0.204
late

#5 α=0.373
late

#6 α=0.285
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	0	leakage	True
2	0	leakage	True
3	0	leakage	True
4	0	leakage	True
5	0	leakage	True
6	0	leakage	True

#6

Train/Train/971_L · test

2 model frames (max 12) · frame_span=phase_stratified · P(true)=0.024 · prefix argmax flips=0 · min prefix margin=0.902

Ground truth 1 — staining

Prediction (exam-level) 2 — no hyperfluorescence

Softmax at selected frame

ClassMass

leakage

0.006

staining

0.037

true

no hyperfluorescence

0.939

step

pooling

0.005

window defect

0.013

Model frames + attention α

#0 α=0.527
mid

#1 α=0.473
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	2	no hyperfluorescence	True
1	2	no hyperfluorescence	True

#7

Train/Train/335_R · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.028 · prefix argmax flips=2 · min prefix margin=0.011

Ground truth 4 — window defect

Prediction (exam-level) 3 — pooling

Softmax at selected frame

ClassMass

leakage

0.031

staining

0.184

no hyperfluorescence

0.650

step

pooling

0.017

window defect

0.119

true

Model frames + attention α

#0 α=0.000
early

#1 α=0.000
early

#2 α=0.008
early

#3 α=0.010
mid

#4 α=0.042
mid

#5 α=0.067
late

#6 α=0.123
late

#7 α=0.120
late

#8 α=0.194
late

#9 α=0.149
late

#10 α=0.138
late

#11 α=0.148
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	2	no hyperfluorescence	False
1	2	no hyperfluorescence	False
2	4	window defect	False
3	4	window defect	False
4	4	window defect	False
5	3	pooling	True
6	3	pooling	True
7	3	pooling	True
8	3	pooling	True
9	3	pooling	True
10	3	pooling	True
11	3	pooling	True

#8

Train/Train/1373_L · test

7 model frames (max 12) · frame_span=phase_stratified · P(true)=0.029 · prefix argmax flips=2 · min prefix margin=0.054

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.014

staining

0.382

no hyperfluorescence

0.050

true

pooling

0.016

window defect

0.539

step

Model frames + attention α

#0 α=0.084
early

#1 α=0.077
early

#2 α=0.007
early

#3 α=0.084
mid

#4 α=0.090
mid

#5 α=0.233
mid

#6 α=0.423
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	True
1	4	window defect	True
2	2	no hyperfluorescence	False
3	1	staining	False
4	1	staining	False
5	1	staining	False
6	1	staining	False

#9

Train/Train/28_L · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.032 · prefix argmax flips=0 · min prefix margin=0.830

Ground truth 1 — staining

Prediction (exam-level) 2 — no hyperfluorescence

Softmax at selected frame

ClassMass

leakage

0.009

staining

0.052

true

no hyperfluorescence

0.911

step

pooling

0.005

window defect

0.022

Model frames + attention α

#0 α=0.068
early

#1 α=0.079
early

#2 α=0.046
early

#3 α=0.051
early

#4 α=0.056
mid

#5 α=0.070
mid

#6 α=0.073
mid

#7 α=0.104
mid

#8 α=0.102
mid

#9 α=0.096
late

#10 α=0.109
late

#11 α=0.145
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	2	no hyperfluorescence	True
1	2	no hyperfluorescence	True
2	2	no hyperfluorescence	True
3	2	no hyperfluorescence	True
4	2	no hyperfluorescence	True
5	2	no hyperfluorescence	True
6	2	no hyperfluorescence	True
7	2	no hyperfluorescence	True
8	2	no hyperfluorescence	True
9	2	no hyperfluorescence	True
10	2	no hyperfluorescence	True
11	2	no hyperfluorescence	True

#10

Train/Train/1318_R · test

6 model frames (max 12) · frame_span=phase_stratified · P(true)=0.033 · prefix argmax flips=2 · min prefix margin=0.048

Ground truth 1 — staining

Prediction (exam-level) 3 — pooling

Softmax at selected frame

ClassMass

leakage

0.063

staining

0.159

true

no hyperfluorescence

0.020

pooling

0.285

window defect

0.472

step

Model frames + attention α

#0 α=0.025
mid

#1 α=0.044
mid

#2 α=0.137
mid

#3 α=0.278
mid

#4 α=0.251
late

#5 α=0.264
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	False
1	4	window defect	False
2	3	pooling	True
3	3	pooling	True
4	0	leakage	False
5	0	leakage	False

#11

Train/Train/1223_L · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.033 · prefix argmax flips=1 · min prefix margin=0.029

Ground truth 1 — staining

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.016

staining

0.420

truestep

no hyperfluorescence

0.155

pooling

0.017

window defect

0.391

Model frames + attention α

#0 α=0.015
early

#1 α=0.009
early

#2 α=0.014
mid

#3 α=0.024
mid

#4 α=0.045
mid

#5 α=0.092
early

#6 α=0.102
early

#7 α=0.140
mid

#8 α=0.146
mid

#9 α=0.142
mid

#10 α=0.138
mid

#11 α=0.134
mid

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	4	window defect	True
2	4	window defect	True
3	4	window defect	True
4	4	window defect	True
5	4	window defect	True
6	4	window defect	True
7	4	window defect	True
8	4	window defect	True
9	4	window defect	True
10	4	window defect	True
11	4	window defect	True

#12

Train/Train/185_R · test

3 model frames (max 12) · frame_span=phase_stratified · P(true)=0.035 · prefix argmax flips=1 · min prefix margin=0.061

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.031

staining

0.439

step

no hyperfluorescence

0.136

true

pooling

0.016

window defect

0.378

Model frames + attention α

#0 α=0.108
mid

#1 α=0.228
mid

#2 α=0.664
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	4	window defect	True
2	4	window defect	True

#13

Train/Train/817_L · test

6 model frames (max 12) · frame_span=phase_stratified · P(true)=0.036 · prefix argmax flips=1 · min prefix margin=0.013

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.016

staining

0.484

step

no hyperfluorescence

0.067

true

pooling

0.009

window defect

0.424

Model frames + attention α

#0 α=0.170
early

#1 α=0.144
early

#2 α=0.145
early

#3 α=0.149
mid

#4 α=0.182
late

#5 α=0.210
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	1	staining	False
2	4	window defect	True
3	4	window defect	True
4	4	window defect	True
5	4	window defect	True

#14

Train/Train/156_R · test

10 model frames (max 12) · frame_span=phase_stratified · P(true)=0.037 · prefix argmax flips=0 · min prefix margin=0.099

Ground truth 1 — staining

Prediction (exam-level) 3 — pooling

Softmax at selected frame

ClassMass

leakage

0.062

staining

0.203

true

no hyperfluorescence

0.229

pooling

0.328

step

window defect

0.177

Model frames + attention α

#0 α=0.008
late

#1 α=0.014
late

#2 α=0.045
late

#3 α=0.070
late

#4 α=0.123
late

#5 α=0.181
late

#6 α=0.120
late

#7 α=0.141
late

#8 α=0.125
late

#9 α=0.170
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	3	pooling	True
1	3	pooling	True
2	3	pooling	True
3	3	pooling	True
4	3	pooling	True
5	3	pooling	True
6	3	pooling	True
7	3	pooling	True
8	3	pooling	True
9	3	pooling	True

#15

Train/Train/688_R · test

5 model frames (max 12) · frame_span=phase_stratified · P(true)=0.037 · prefix argmax flips=1 · min prefix margin=0.103

Ground truth 0 — leakage

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.033

true

staining

0.150

no hyperfluorescence

0.073

pooling

0.051

window defect

0.693

step

Model frames + attention α

#0 α=0.216
early

#1 α=0.314
early

#2 α=0.283
early

#3 α=0.100
late

#4 α=0.087
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	True
1	4	window defect	True
2	4	window defect	True
3	4	window defect	True
4	2	no hyperfluorescence	False

#16

Train/Train/481_L · test

4 model frames (max 12) · frame_span=phase_stratified · P(true)=0.045 · prefix argmax flips=2 · min prefix margin=0.001

Ground truth 2 — no hyperfluorescence

Prediction (exam-level) 1 — staining

Softmax at selected frame

ClassMass

leakage

0.019

staining

0.538

step

no hyperfluorescence

0.123

true

pooling

0.008

window defect

0.312

Model frames + attention α

#0 α=0.151
early

#1 α=0.094
early

#2 α=0.143
mid

#3 α=0.612
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	True
1	2	no hyperfluorescence	False
2	1	staining	True
3	1	staining	True

#17

Train/Train/927_L · test

11 model frames (max 12) · frame_span=phase_stratified · P(true)=0.052 · prefix argmax flips=1 · min prefix margin=0.245

Ground truth 0 — leakage

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.013

true

staining

0.322

no hyperfluorescence

0.079

pooling

0.019

window defect

0.567

step

Model frames + attention α

#0 α=0.003
early

#1 α=0.002
early

#2 α=0.002
early

#3 α=0.008
early

#4 α=0.018
early

#5 α=0.029
mid

#6 α=0.065
mid

#7 α=0.133
late

#8 α=0.208
late

#9 α=0.265
late

#10 α=0.267
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	True
1	4	window defect	True
2	4	window defect	True
3	4	window defect	True
4	4	window defect	True
5	4	window defect	True
6	4	window defect	True
7	4	window defect	True
8	3	pooling	False
9	3	pooling	False
10	3	pooling	False

#18

Train/Train/497_R · test

12 model frames (max 12) · frame_span=phase_stratified · P(true)=0.052 · prefix argmax flips=1 · min prefix margin=0.058

Ground truth 3 — pooling

Prediction (exam-level) 0 — leakage

Softmax at selected frame

ClassMass

leakage

0.088

staining

0.462

step

no hyperfluorescence

0.022

pooling

0.024

true

window defect

0.404

Model frames + attention α

#0 α=0.003
early

#1 α=0.003
early

#2 α=0.013
early

#3 α=0.015
early

#4 α=0.038
mid

#5 α=0.053
mid

#6 α=0.094
mid

#7 α=0.124
mid

#8 α=0.118
mid

#9 α=0.158
late

#10 α=0.201
late

#11 α=0.179
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	1	staining	False
1	1	staining	False
2	1	staining	False
3	1	staining	False
4	1	staining	False
5	0	leakage	True
6	0	leakage	True
7	0	leakage	True
8	0	leakage	True
9	0	leakage	True
10	0	leakage	True
11	0	leakage	True

#19

Train/Train/655_L · test

7 model frames (max 12) · frame_span=phase_stratified · P(true)=0.053 · prefix argmax flips=1 · min prefix margin=0.064

Ground truth 3 — pooling

Prediction (exam-level) 1 — staining

Softmax at selected frame

ClassMass

leakage

0.008

staining

0.060

no hyperfluorescence

0.899

step

pooling

0.007

true

window defect

0.026

Model frames + attention α

#0 α=0.008
early

#1 α=0.004
early

#2 α=0.057
mid

#3 α=0.235
mid

#4 α=0.182
mid

#5 α=0.271
late

#6 α=0.243
late

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	2	no hyperfluorescence	False
1	2	no hyperfluorescence	False
2	1	staining	True
3	1	staining	True
4	1	staining	True
5	1	staining	True
6	1	staining	True

#20

Train/Train/303_R · test

3 model frames (max 12) · frame_span=phase_stratified · P(true)=0.053 · prefix argmax flips=1 · min prefix margin=0.291

Ground truth 1 — staining

Prediction (exam-level) 4 — window defect

Softmax at selected frame

ClassMass

leakage

0.199

staining

0.148

true

no hyperfluorescence

0.027

pooling

0.035

window defect

0.591

step

Model frames + attention α

#0 α=0.078
mid

#1 α=0.271
late

#2 α=0.650
late

$FA frame$

Softmax vs time

Per-frame prefix argmax

t	argmax	label	matches exam-level pred
0	4	window defect	True
1	4	window defect	True
2	0	leakage	False