DCCE / Feature fusion

Feature fusion

Preserved research report. Consult the final study for current claims.

Preserved revision-stage report. Some manuscript pointers and version labels reflect an earlier writing stage. Use the current study and research record for the final interpretation.

Input-matched frozen-feature controls

Exploratory addition: all three frozen pretrained families receive the same annotated ICI through direct concatenation. Only the downstream linear probe is trained. Multi-layer selection uses validation data exclusively. These controls match available inputs; they do not match external pretraining history or local auxiliary-label objectives.

date_grouped

Model Unit Type ID
AVES_ICI 0.712 ± 0.111 0.366 ± 0.084 0.128 ± 0.103
BirdNET_ICI 0.628 ± 0.095 0.287 ± 0.061 0.100 ± 0.055
WhAM_ICI 0.768 ± 0.057 0.376 ± 0.151 0.153 ± 0.135

random

Model Unit Type ID
AVES_ICI 0.926 ± 0.011 0.667 ± 0.044 0.652 ± 0.044
BirdNET_ICI 0.884 ± 0.018 0.497 ± 0.028 0.580 ± 0.031
WhAM_ICI 0.921 ± 0.005 0.722 ± 0.027 0.598 ± 0.028

Year holdouts

Model Year Unit Type ID
AVES_ICI 2005 0.675 0.440 0.263
AVES_ICI 2008 0.498 0.332 0.330
AVES_ICI 2009 0.835 0.733 0.376
AVES_ICI 2010 0.354 0.303 0.057
BirdNET_ICI 2005 0.646 0.238 0.229
BirdNET_ICI 2008 0.355 0.239 0.195
BirdNET_ICI 2009 0.819 0.718 0.126
BirdNET_ICI 2010 0.323 0.330 0.101
WhAM_ICI 2005 0.773 0.406 0.305
WhAM_ICI 2008 0.410 0.367 0.459
WhAM_ICI 2009 0.856 0.961 0.255
WhAM_ICI 2010 0.451 0.382 0.146

All per-run support counts and secondary scores are saved in feature_fusion_metrics.csv. Year holdouts control local probe training, not unknown historical pretraining exposure.