Add analysis scripts and experiment configurations for bridge attention and sensitivity studies

- Introduced `bridge_attention_ceiling_check.py` for variance decomposition analysis on bridge attention configurations.
- Added `bridge_attention_readout.py` to perform per-tower gate and contribution readouts, including AUC sanity checks.
- Created multiple JSON configuration files for backbone replication experiments, including anonymous CV variants and basic backbones.
- Implemented sensitivity experiments to evaluate the impact of axial length inclusion and EfficientNetV2-M performance at higher resolutions.
- Added a memory probe script to assess GPU memory usage during training with EfficientNetV2-M.

v4/figures/output/F8_quadrant_fractions.csv

@@ -0,0 +1,49 @@
+class,outcome,scope,quadrant,n_eyes,mean,sd
+Glaucoma,correct,disc,ST,46,0.14268406172610618,0.08672064804334276
+Glaucoma,correct,disc,SN,46,0.1891374642326569,0.15141795670756453
+Glaucoma,correct,disc,IT,46,0.28698060971321787,0.1321960653720743
+Glaucoma,correct,disc,IN,46,0.3811978502755397,0.17407907371247724
+Glaucoma,correct,peri,ST,46,0.0801709241030986,0.08494386999472202
+Glaucoma,correct,peri,SN,46,0.15918948407117592,0.20257575474186357
+Glaucoma,correct,peri,IT,46,0.34826832191551693,0.2606073381849083
+Glaucoma,correct,peri,IN,46,0.41237125804664543,0.249789089870656
+Glaucoma,correct,full,ST,46,0.09742898919008372,0.08228642449987539
+Glaucoma,correct,full,SN,46,0.18659980165443252,0.20125297725836833
+Glaucoma,correct,full,IT,46,0.36286098988076154,0.26458782651352963
+Glaucoma,correct,full,IN,46,0.35311022712131146,0.2246580892242915
+Glaucoma,incorrect,disc,ST,34,0.252112440145696,0.15034014496616682
+Glaucoma,incorrect,disc,SN,34,0.1746002632983389,0.09578946023984732
+Glaucoma,incorrect,disc,IT,34,0.3293620129186265,0.17212955919145329
+Glaucoma,incorrect,disc,IN,34,0.24392528597147015,0.17660301429323946
+Glaucoma,incorrect,peri,ST,34,0.20385530932089996,0.17952535419921464
+Glaucoma,incorrect,peri,SN,34,0.15875330500366588,0.15449712019023593
+Glaucoma,incorrect,peri,IT,34,0.3862569142356727,0.2418765080584544
+Glaucoma,incorrect,peri,IN,34,0.25113447428742586,0.24028533916258976
+Glaucoma,incorrect,full,ST,34,0.21217464524321497,0.15540407279111246
+Glaucoma,incorrect,full,SN,34,0.16330973974559065,0.12739118311502012
+Glaucoma,incorrect,full,IT,34,0.37856896329311157,0.20473194944523931
+Glaucoma,incorrect,full,IN,34,0.24594665148198902,0.20319230952963316
+Normal,correct,disc,ST,313,0.21529517366946307,0.0928060891129116
+Normal,correct,disc,SN,313,0.1571976673739274,0.08983072836980605
+Normal,correct,disc,IT,313,0.3536251021009069,0.14392434591451472
+Normal,correct,disc,IN,313,0.27388205685844386,0.13935549411695708
+Normal,correct,peri,ST,313,0.16039412908580125,0.10491506604844639
+Normal,correct,peri,SN,313,0.11198831344232964,0.1038424179426872
+Normal,correct,peri,IT,313,0.4372451776941388,0.22439216417926178
+Normal,correct,peri,IN,313,0.29037237912573877,0.21697235549864913
+Normal,correct,full,ST,313,0.17585699926973924,0.09265567144523121
+Normal,correct,full,SN,313,0.1305376994147368,0.09449518811759064
+Normal,correct,full,IT,313,0.4112080738659084,0.19447938630719017
+Normal,correct,full,IN,313,0.28239722323230754,0.18195870133945977
+Normal,incorrect,disc,ST,27,0.12299851888544425,0.11261550366741999
+Normal,incorrect,disc,SN,27,0.2121276641099002,0.1995218721251311
+Normal,incorrect,disc,IT,27,0.26471045076221783,0.17809359884921286
+Normal,incorrect,disc,IN,27,0.40016336326290614,0.22355291760060642
+Normal,incorrect,peri,ST,27,0.07760201435962506,0.10155210979149742
+Normal,incorrect,peri,SN,27,0.1965738090304749,0.2495116802723263
+Normal,incorrect,peri,IT,27,0.2814199416369157,0.2308903646345705
+Normal,incorrect,peri,IN,27,0.4444042475568166,0.27092685369261976
+Normal,incorrect,full,ST,27,0.09632595685606479,0.13797078057713352
+Normal,incorrect,full,SN,27,0.20212570434383328,0.2336043948759492
+Normal,incorrect,full,IT,27,0.3081102746977408,0.2523555953549531
+Normal,incorrect,full,IN,27,0.3934380562908973,0.24633953116106946

v4/figures/output/S8e_clinical_importance.csv

@@ -0,0 +1,10 @@
+feature,mean_drop,std_drop,baseline_auc_mean
+Age,0.1487745098039216,0.07246596166317897,0.7117647058823529
+IOP_corr,0.0645588235294118,0.053595964337907635,0.7117647058823529
+Phakic/Pseudophakic,0.031004901960784353,0.05039528009700277,0.7117647058823529
+Pachymetry,0.011421568627451003,0.016547911692771797,0.7117647058823529
+Gender,0.006102941176470622,0.022596178307964714,0.7117647058823529
+eyeID,0.0,0.0,0.7117647058823529
+dioptre_2,-0.0010294117647058861,0.003622645200240852,0.7117647058823529
+astigmatism,-0.002156862745098008,0.008336072214271729,0.7117647058823529
+dioptre_1,-0.006593137254901939,0.011003619078899692,0.7117647058823529